Kevin Ni
commited on
Commit
•
8533dc5
1
Parent(s):
eb2b64f
upload the model
Browse files- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
- trainer_state.json +720 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
|
3 |
+
"architectures": [
|
4 |
+
"MistralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 1,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"model_type": "mistral",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"rms_norm_eps": 1e-05,
|
19 |
+
"rope_theta": 1000000.0,
|
20 |
+
"sliding_window": null,
|
21 |
+
"tie_word_embeddings": false,
|
22 |
+
"torch_dtype": "float32",
|
23 |
+
"transformers_version": "4.36.2",
|
24 |
+
"use_cache": true,
|
25 |
+
"vocab_size": 32000
|
26 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.36.2"
|
6 |
+
}
|
model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76a2377e2b1032bfe76eb7b6c38875aee779e0472d7e16c426dbfab14db88fa3
|
3 |
+
size 4987196936
|
model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7f97efe94bea62e64640fa45a87e02cfb047e03542603eb2209e906a1ebfc041
|
3 |
+
size 4899116440
|
model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a618ad36e48a4641e2c0f8e597b120580731e9a05fff6efe301beb3536e0c9dd
|
3 |
+
size 4999813120
|
model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c7180a67132e02a76b2bdcf41d5a85f33ba9557dfd0be02aeb53dc8ee987799
|
3 |
+
size 4999813128
|
model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:14e5d75565e49a6272c688c3fdd2d7f5df7305264133e0589df775d10b4c2421
|
3 |
+
size 4832007496
|
model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c88270c94770aae19c95a928d730982bf1cceffe16e7db663d318d1ce23d914
|
3 |
+
size 4249014896
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 28966928384
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
296 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
297 |
+
}
|
298 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<unk>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 4096,
|
37 |
+
"pad_token": "<unk>",
|
38 |
+
"padding_side": "right",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"spaces_between_special_tokens": false,
|
41 |
+
"tokenizer_class": "LlamaTokenizer",
|
42 |
+
"unk_token": "<unk>",
|
43 |
+
"use_default_system_prompt": false
|
44 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,720 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.96,
|
5 |
+
"eval_steps": 37,
|
6 |
+
"global_step": 111,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.03,
|
13 |
+
"learning_rate": 1.6666666666666667e-06,
|
14 |
+
"loss": 0.6112,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.05,
|
19 |
+
"learning_rate": 3.3333333333333333e-06,
|
20 |
+
"loss": 0.6303,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.08,
|
25 |
+
"learning_rate": 5e-06,
|
26 |
+
"loss": 0.5761,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.11,
|
31 |
+
"learning_rate": 6.666666666666667e-06,
|
32 |
+
"loss": 0.5203,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.13,
|
37 |
+
"learning_rate": 8.333333333333334e-06,
|
38 |
+
"loss": 0.5136,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.16,
|
43 |
+
"learning_rate": 1e-05,
|
44 |
+
"loss": 0.535,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.19,
|
49 |
+
"learning_rate": 1.1666666666666668e-05,
|
50 |
+
"loss": 0.5001,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.21,
|
55 |
+
"learning_rate": 1.3333333333333333e-05,
|
56 |
+
"loss": 0.5683,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.24,
|
61 |
+
"learning_rate": 1.5000000000000002e-05,
|
62 |
+
"loss": 0.5901,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.27,
|
67 |
+
"learning_rate": 1.6666666666666667e-05,
|
68 |
+
"loss": 0.483,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.29,
|
73 |
+
"learning_rate": 1.8333333333333333e-05,
|
74 |
+
"loss": 0.5924,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.32,
|
79 |
+
"learning_rate": 2e-05,
|
80 |
+
"loss": 0.4826,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.35,
|
85 |
+
"learning_rate": 1.9994965423831853e-05,
|
86 |
+
"loss": 0.6382,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.37,
|
91 |
+
"learning_rate": 1.9979866764718846e-05,
|
92 |
+
"loss": 0.6642,
|
93 |
+
"step": 14
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.4,
|
97 |
+
"learning_rate": 1.9954719225730847e-05,
|
98 |
+
"loss": 1.0157,
|
99 |
+
"step": 15
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.43,
|
103 |
+
"learning_rate": 1.9919548128307954e-05,
|
104 |
+
"loss": 0.8049,
|
105 |
+
"step": 16
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.45,
|
109 |
+
"learning_rate": 1.9874388886763944e-05,
|
110 |
+
"loss": 0.5901,
|
111 |
+
"step": 17
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.48,
|
115 |
+
"learning_rate": 1.9819286972627066e-05,
|
116 |
+
"loss": 0.5374,
|
117 |
+
"step": 18
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.51,
|
121 |
+
"learning_rate": 1.9754297868854075e-05,
|
122 |
+
"loss": 0.6478,
|
123 |
+
"step": 19
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.53,
|
127 |
+
"learning_rate": 1.9679487013963566e-05,
|
128 |
+
"loss": 0.5887,
|
129 |
+
"step": 20
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.56,
|
133 |
+
"learning_rate": 1.9594929736144978e-05,
|
134 |
+
"loss": 0.617,
|
135 |
+
"step": 21
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.59,
|
139 |
+
"learning_rate": 1.9500711177409456e-05,
|
140 |
+
"loss": 0.5248,
|
141 |
+
"step": 22
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.61,
|
145 |
+
"learning_rate": 1.9396926207859085e-05,
|
146 |
+
"loss": 0.6107,
|
147 |
+
"step": 23
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.64,
|
151 |
+
"learning_rate": 1.9283679330160726e-05,
|
152 |
+
"loss": 0.5962,
|
153 |
+
"step": 24
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.67,
|
157 |
+
"learning_rate": 1.9161084574320696e-05,
|
158 |
+
"loss": 0.5956,
|
159 |
+
"step": 25
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.69,
|
163 |
+
"learning_rate": 1.9029265382866216e-05,
|
164 |
+
"loss": 0.596,
|
165 |
+
"step": 26
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.72,
|
169 |
+
"learning_rate": 1.8888354486549238e-05,
|
170 |
+
"loss": 0.5287,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.75,
|
175 |
+
"learning_rate": 1.873849377069785e-05,
|
176 |
+
"loss": 0.5219,
|
177 |
+
"step": 28
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.77,
|
181 |
+
"learning_rate": 1.8579834132349773e-05,
|
182 |
+
"loss": 0.5725,
|
183 |
+
"step": 29
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.8,
|
187 |
+
"learning_rate": 1.8412535328311813e-05,
|
188 |
+
"loss": 0.5125,
|
189 |
+
"step": 30
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.83,
|
193 |
+
"learning_rate": 1.8236765814298328e-05,
|
194 |
+
"loss": 0.684,
|
195 |
+
"step": 31
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.85,
|
199 |
+
"learning_rate": 1.8052702575310588e-05,
|
200 |
+
"loss": 0.6122,
|
201 |
+
"step": 32
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.88,
|
205 |
+
"learning_rate": 1.7860530947427878e-05,
|
206 |
+
"loss": 0.58,
|
207 |
+
"step": 33
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.91,
|
211 |
+
"learning_rate": 1.766044443118978e-05,
|
212 |
+
"loss": 0.5345,
|
213 |
+
"step": 34
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.93,
|
217 |
+
"learning_rate": 1.745264449675755e-05,
|
218 |
+
"loss": 0.6006,
|
219 |
+
"step": 35
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.96,
|
223 |
+
"learning_rate": 1.72373403810507e-05,
|
224 |
+
"loss": 0.5205,
|
225 |
+
"step": 36
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.99,
|
229 |
+
"learning_rate": 1.7014748877063212e-05,
|
230 |
+
"loss": 0.5162,
|
231 |
+
"step": 37
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.99,
|
235 |
+
"eval_loss": 0.5430402755737305,
|
236 |
+
"eval_runtime": 104.5069,
|
237 |
+
"eval_samples_per_second": 4.306,
|
238 |
+
"eval_steps_per_second": 0.545,
|
239 |
+
"step": 37
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 1.01,
|
243 |
+
"learning_rate": 1.6785094115571323e-05,
|
244 |
+
"loss": 0.4366,
|
245 |
+
"step": 38
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 1.04,
|
249 |
+
"learning_rate": 1.6548607339452853e-05,
|
250 |
+
"loss": 0.2943,
|
251 |
+
"step": 39
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 1.07,
|
255 |
+
"learning_rate": 1.6305526670845225e-05,
|
256 |
+
"loss": 0.3252,
|
257 |
+
"step": 40
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 1.09,
|
261 |
+
"learning_rate": 1.6056096871376667e-05,
|
262 |
+
"loss": 0.2371,
|
263 |
+
"step": 41
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.12,
|
267 |
+
"learning_rate": 1.5800569095711983e-05,
|
268 |
+
"loss": 0.2612,
|
269 |
+
"step": 42
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.15,
|
273 |
+
"learning_rate": 1.5539200638661106e-05,
|
274 |
+
"loss": 0.2848,
|
275 |
+
"step": 43
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.17,
|
279 |
+
"learning_rate": 1.5272254676105026e-05,
|
280 |
+
"loss": 0.3492,
|
281 |
+
"step": 44
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 1.2,
|
285 |
+
"learning_rate": 1.5000000000000002e-05,
|
286 |
+
"loss": 0.3187,
|
287 |
+
"step": 45
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 1.23,
|
291 |
+
"learning_rate": 1.472271074772683e-05,
|
292 |
+
"loss": 0.2717,
|
293 |
+
"step": 46
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.25,
|
297 |
+
"learning_rate": 1.4440666126057743e-05,
|
298 |
+
"loss": 0.2904,
|
299 |
+
"step": 47
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 1.28,
|
303 |
+
"learning_rate": 1.4154150130018867e-05,
|
304 |
+
"loss": 0.3491,
|
305 |
+
"step": 48
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.31,
|
309 |
+
"learning_rate": 1.3863451256931286e-05,
|
310 |
+
"loss": 0.2594,
|
311 |
+
"step": 49
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.33,
|
315 |
+
"learning_rate": 1.356886221591872e-05,
|
316 |
+
"loss": 0.2274,
|
317 |
+
"step": 50
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.36,
|
321 |
+
"learning_rate": 1.3270679633174219e-05,
|
322 |
+
"loss": 0.258,
|
323 |
+
"step": 51
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 1.39,
|
327 |
+
"learning_rate": 1.296920375328275e-05,
|
328 |
+
"loss": 0.2805,
|
329 |
+
"step": 52
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.41,
|
333 |
+
"learning_rate": 1.266473813690035e-05,
|
334 |
+
"loss": 0.3149,
|
335 |
+
"step": 53
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.44,
|
339 |
+
"learning_rate": 1.2357589355094275e-05,
|
340 |
+
"loss": 0.2612,
|
341 |
+
"step": 54
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 1.47,
|
345 |
+
"learning_rate": 1.2048066680651908e-05,
|
346 |
+
"loss": 0.2585,
|
347 |
+
"step": 55
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.49,
|
351 |
+
"learning_rate": 1.1736481776669307e-05,
|
352 |
+
"loss": 0.2456,
|
353 |
+
"step": 56
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.52,
|
357 |
+
"learning_rate": 1.1423148382732854e-05,
|
358 |
+
"loss": 0.2848,
|
359 |
+
"step": 57
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.55,
|
363 |
+
"learning_rate": 1.1108381999010111e-05,
|
364 |
+
"loss": 0.2913,
|
365 |
+
"step": 58
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 1.57,
|
369 |
+
"learning_rate": 1.0792499568567885e-05,
|
370 |
+
"loss": 0.2446,
|
371 |
+
"step": 59
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 1.6,
|
375 |
+
"learning_rate": 1.0475819158237426e-05,
|
376 |
+
"loss": 0.4025,
|
377 |
+
"step": 60
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.63,
|
381 |
+
"learning_rate": 1.015865963834808e-05,
|
382 |
+
"loss": 0.282,
|
383 |
+
"step": 61
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.65,
|
387 |
+
"learning_rate": 9.841340361651921e-06,
|
388 |
+
"loss": 0.256,
|
389 |
+
"step": 62
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.68,
|
393 |
+
"learning_rate": 9.524180841762577e-06,
|
394 |
+
"loss": 0.2738,
|
395 |
+
"step": 63
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.71,
|
399 |
+
"learning_rate": 9.207500431432115e-06,
|
400 |
+
"loss": 0.2426,
|
401 |
+
"step": 64
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.73,
|
405 |
+
"learning_rate": 8.89161800098989e-06,
|
406 |
+
"loss": 0.2979,
|
407 |
+
"step": 65
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 1.76,
|
411 |
+
"learning_rate": 8.576851617267151e-06,
|
412 |
+
"loss": 0.2517,
|
413 |
+
"step": 66
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 1.79,
|
417 |
+
"learning_rate": 8.263518223330698e-06,
|
418 |
+
"loss": 0.245,
|
419 |
+
"step": 67
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.81,
|
423 |
+
"learning_rate": 7.951933319348095e-06,
|
424 |
+
"loss": 0.2405,
|
425 |
+
"step": 68
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.84,
|
429 |
+
"learning_rate": 7.642410644905726e-06,
|
430 |
+
"loss": 0.2171,
|
431 |
+
"step": 69
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.87,
|
435 |
+
"learning_rate": 7.335261863099652e-06,
|
436 |
+
"loss": 0.2534,
|
437 |
+
"step": 70
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.89,
|
441 |
+
"learning_rate": 7.0307962467172555e-06,
|
442 |
+
"loss": 0.257,
|
443 |
+
"step": 71
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.92,
|
447 |
+
"learning_rate": 6.729320366825785e-06,
|
448 |
+
"loss": 0.2736,
|
449 |
+
"step": 72
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.95,
|
453 |
+
"learning_rate": 6.431137784081283e-06,
|
454 |
+
"loss": 0.2773,
|
455 |
+
"step": 73
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.97,
|
459 |
+
"learning_rate": 6.136548743068713e-06,
|
460 |
+
"loss": 0.2686,
|
461 |
+
"step": 74
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.97,
|
465 |
+
"eval_loss": 0.5483924150466919,
|
466 |
+
"eval_runtime": 104.141,
|
467 |
+
"eval_samples_per_second": 4.321,
|
468 |
+
"eval_steps_per_second": 0.547,
|
469 |
+
"step": 74
|
470 |
+
},
|
471 |
+
{
|
472 |
+
"epoch": 2.0,
|
473 |
+
"learning_rate": 5.845849869981137e-06,
|
474 |
+
"loss": 0.3391,
|
475 |
+
"step": 75
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 2.03,
|
479 |
+
"learning_rate": 5.559333873942259e-06,
|
480 |
+
"loss": 0.1271,
|
481 |
+
"step": 76
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 2.05,
|
485 |
+
"learning_rate": 5.277289252273175e-06,
|
486 |
+
"loss": 0.1226,
|
487 |
+
"step": 77
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 2.08,
|
491 |
+
"learning_rate": 5.000000000000003e-06,
|
492 |
+
"loss": 0.1008,
|
493 |
+
"step": 78
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 2.11,
|
497 |
+
"learning_rate": 4.727745323894976e-06,
|
498 |
+
"loss": 0.1086,
|
499 |
+
"step": 79
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 2.13,
|
503 |
+
"learning_rate": 4.460799361338898e-06,
|
504 |
+
"loss": 0.1104,
|
505 |
+
"step": 80
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 2.16,
|
509 |
+
"learning_rate": 4.19943090428802e-06,
|
510 |
+
"loss": 0.0931,
|
511 |
+
"step": 81
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 2.19,
|
515 |
+
"learning_rate": 3.943903128623336e-06,
|
516 |
+
"loss": 0.1212,
|
517 |
+
"step": 82
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 2.21,
|
521 |
+
"learning_rate": 3.6944733291547784e-06,
|
522 |
+
"loss": 0.0952,
|
523 |
+
"step": 83
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 2.24,
|
527 |
+
"learning_rate": 3.4513926605471504e-06,
|
528 |
+
"loss": 0.0924,
|
529 |
+
"step": 84
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 2.27,
|
533 |
+
"learning_rate": 3.2149058844286796e-06,
|
534 |
+
"loss": 0.094,
|
535 |
+
"step": 85
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 2.29,
|
539 |
+
"learning_rate": 2.9852511229367862e-06,
|
540 |
+
"loss": 0.101,
|
541 |
+
"step": 86
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 2.32,
|
545 |
+
"learning_rate": 2.7626596189492983e-06,
|
546 |
+
"loss": 0.0979,
|
547 |
+
"step": 87
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 2.35,
|
551 |
+
"learning_rate": 2.5473555032424534e-06,
|
552 |
+
"loss": 0.0972,
|
553 |
+
"step": 88
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 2.37,
|
557 |
+
"learning_rate": 2.339555568810221e-06,
|
558 |
+
"loss": 0.0847,
|
559 |
+
"step": 89
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 2.4,
|
563 |
+
"learning_rate": 2.1394690525721275e-06,
|
564 |
+
"loss": 0.0818,
|
565 |
+
"step": 90
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 2.43,
|
569 |
+
"learning_rate": 1.947297424689414e-06,
|
570 |
+
"loss": 0.1019,
|
571 |
+
"step": 91
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 2.45,
|
575 |
+
"learning_rate": 1.7632341857016733e-06,
|
576 |
+
"loss": 0.0849,
|
577 |
+
"step": 92
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 2.48,
|
581 |
+
"learning_rate": 1.587464671688187e-06,
|
582 |
+
"loss": 0.0616,
|
583 |
+
"step": 93
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 2.51,
|
587 |
+
"learning_rate": 1.4201658676502294e-06,
|
588 |
+
"loss": 0.0966,
|
589 |
+
"step": 94
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 2.53,
|
593 |
+
"learning_rate": 1.2615062293021508e-06,
|
594 |
+
"loss": 0.0712,
|
595 |
+
"step": 95
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 2.56,
|
599 |
+
"learning_rate": 1.1116455134507665e-06,
|
600 |
+
"loss": 0.0874,
|
601 |
+
"step": 96
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.59,
|
605 |
+
"learning_rate": 9.707346171337895e-07,
|
606 |
+
"loss": 0.0894,
|
607 |
+
"step": 97
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 2.61,
|
611 |
+
"learning_rate": 8.389154256793042e-07,
|
612 |
+
"loss": 0.0853,
|
613 |
+
"step": 98
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 2.64,
|
617 |
+
"learning_rate": 7.163206698392744e-07,
|
618 |
+
"loss": 0.0827,
|
619 |
+
"step": 99
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 2.67,
|
623 |
+
"learning_rate": 6.030737921409169e-07,
|
624 |
+
"loss": 0.0785,
|
625 |
+
"step": 100
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 2.69,
|
629 |
+
"learning_rate": 4.992888225905467e-07,
|
630 |
+
"loss": 0.0735,
|
631 |
+
"step": 101
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 2.72,
|
635 |
+
"learning_rate": 4.0507026385502747e-07,
|
636 |
+
"loss": 0.0906,
|
637 |
+
"step": 102
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 2.75,
|
641 |
+
"learning_rate": 3.2051298603643754e-07,
|
642 |
+
"loss": 0.0717,
|
643 |
+
"step": 103
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 2.77,
|
647 |
+
"learning_rate": 2.4570213114592957e-07,
|
648 |
+
"loss": 0.0638,
|
649 |
+
"step": 104
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 2.8,
|
653 |
+
"learning_rate": 1.8071302737293294e-07,
|
654 |
+
"loss": 0.0785,
|
655 |
+
"step": 105
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 2.83,
|
659 |
+
"learning_rate": 1.2561111323605714e-07,
|
660 |
+
"loss": 0.0735,
|
661 |
+
"step": 106
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 2.85,
|
665 |
+
"learning_rate": 8.04518716920466e-08,
|
666 |
+
"loss": 0.11,
|
667 |
+
"step": 107
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 2.88,
|
671 |
+
"learning_rate": 4.528077426915412e-08,
|
672 |
+
"loss": 0.0849,
|
673 |
+
"step": 108
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 2.91,
|
677 |
+
"learning_rate": 2.013323528115674e-08,
|
678 |
+
"loss": 0.0885,
|
679 |
+
"step": 109
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 2.93,
|
683 |
+
"learning_rate": 5.034576168149175e-09,
|
684 |
+
"loss": 0.061,
|
685 |
+
"step": 110
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 2.96,
|
689 |
+
"learning_rate": 0.0,
|
690 |
+
"loss": 0.0889,
|
691 |
+
"step": 111
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 2.96,
|
695 |
+
"eval_loss": 0.6206281185150146,
|
696 |
+
"eval_runtime": 104.1508,
|
697 |
+
"eval_samples_per_second": 4.321,
|
698 |
+
"eval_steps_per_second": 0.547,
|
699 |
+
"step": 111
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.96,
|
703 |
+
"step": 111,
|
704 |
+
"total_flos": 3.879485131928371e+16,
|
705 |
+
"train_loss": 0.3224217994725919,
|
706 |
+
"train_runtime": 3175.6121,
|
707 |
+
"train_samples_per_second": 0.567,
|
708 |
+
"train_steps_per_second": 0.035
|
709 |
+
}
|
710 |
+
],
|
711 |
+
"logging_steps": 1.0,
|
712 |
+
"max_steps": 111,
|
713 |
+
"num_input_tokens_seen": 0,
|
714 |
+
"num_train_epochs": 3,
|
715 |
+
"save_steps": 37,
|
716 |
+
"total_flos": 3.879485131928371e+16,
|
717 |
+
"train_batch_size": 1,
|
718 |
+
"trial_name": null,
|
719 |
+
"trial_params": null
|
720 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d243faef39fe7af92e5b874a2311290d70c245fca4400e3b407b0d37933b560e
|
3 |
+
size 4984
|