DavidNguyen commited on
Commit
edbad27
1 Parent(s): 450c2fe

Upload 13 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen1.5-0.5B
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen1.5-0.5B",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "gate_proj",
24
+ "o_proj",
25
+ "v_proj",
26
+ "down_proj",
27
+ "q_proj",
28
+ "up_proj",
29
+ "k_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9785da5f5d782477fbc3b31982d9dc1b2158f1a5dd3dbb864f1596f319025767
3
+ size 121155320
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c18a681fe580ae2dc8d2b0c2c4790895b9b3a8d549bdfb8dd22db9f350da1786
3
+ size 242504322
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94e1dfcc8d13f6f7ae8e45f7653cc7d520b21c318c555cd9d2a79d2be62f2048
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6cb93e301efbf41dc24acc096e433b9e6eeb39f4c4fe610b787a33bd2f74be1e
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 2048,
39
+ "pad_token": "<|endoftext|>",
40
+ "padding_side": "right",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null
44
+ }
trainer_state.json ADDED
@@ -0,0 +1,453 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.7748934521503293,
5
+ "eval_steps": 500,
6
+ "global_step": 6000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.012914890869172156,
13
+ "grad_norm": 0.9891569018363953,
14
+ "learning_rate": 1.974170218261656e-05,
15
+ "loss": 1.6595,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.025829781738344312,
20
+ "grad_norm": 0.24901358783245087,
21
+ "learning_rate": 1.9483404365233117e-05,
22
+ "loss": 1.4216,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.03874467260751647,
27
+ "grad_norm": 1.108109951019287,
28
+ "learning_rate": 1.922510654784967e-05,
29
+ "loss": 1.383,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.051659563476688625,
34
+ "grad_norm": 0.7391151785850525,
35
+ "learning_rate": 1.896680873046623e-05,
36
+ "loss": 1.408,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.06457445434586077,
41
+ "grad_norm": 0.9414256811141968,
42
+ "learning_rate": 1.8708510913082787e-05,
43
+ "loss": 1.3439,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.07748934521503294,
48
+ "grad_norm": 0.7522476315498352,
49
+ "learning_rate": 1.845021309569934e-05,
50
+ "loss": 1.272,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.09040423608420509,
55
+ "grad_norm": 0.32411837577819824,
56
+ "learning_rate": 1.81919152783159e-05,
57
+ "loss": 1.16,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.10331912695337725,
62
+ "grad_norm": 0.8460651636123657,
63
+ "learning_rate": 1.7933617460932457e-05,
64
+ "loss": 1.1753,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.1162340178225494,
69
+ "grad_norm": 1.0593210458755493,
70
+ "learning_rate": 1.7675319643549015e-05,
71
+ "loss": 1.2417,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.12914890869172155,
76
+ "grad_norm": 1.2058868408203125,
77
+ "learning_rate": 1.741702182616557e-05,
78
+ "loss": 1.381,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.1420637995608937,
83
+ "grad_norm": 0.36752256751060486,
84
+ "learning_rate": 1.7158724008782127e-05,
85
+ "loss": 1.2031,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.15497869043006587,
90
+ "grad_norm": 0.3617095351219177,
91
+ "learning_rate": 1.6900426191398685e-05,
92
+ "loss": 1.2186,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.167893581299238,
97
+ "grad_norm": 1.2740339040756226,
98
+ "learning_rate": 1.664212837401524e-05,
99
+ "loss": 1.2354,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.18080847216841017,
104
+ "grad_norm": 1.0895512104034424,
105
+ "learning_rate": 1.6383830556631797e-05,
106
+ "loss": 1.1308,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.19372336303758234,
111
+ "grad_norm": 0.28641125559806824,
112
+ "learning_rate": 1.6125532739248355e-05,
113
+ "loss": 1.1459,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.2066382539067545,
118
+ "grad_norm": 0.7633489966392517,
119
+ "learning_rate": 1.5867234921864912e-05,
120
+ "loss": 1.083,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.21955314477592663,
125
+ "grad_norm": 0.9854117035865784,
126
+ "learning_rate": 1.5608937104481467e-05,
127
+ "loss": 1.1526,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.2324680356450988,
132
+ "grad_norm": 1.0833749771118164,
133
+ "learning_rate": 1.5350639287098025e-05,
134
+ "loss": 1.0866,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.24538292651427096,
139
+ "grad_norm": 1.2186298370361328,
140
+ "learning_rate": 1.5092341469714582e-05,
141
+ "loss": 1.0898,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.2582978173834431,
146
+ "grad_norm": 0.976441502571106,
147
+ "learning_rate": 1.4834043652331138e-05,
148
+ "loss": 1.2018,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.2712127082526153,
153
+ "grad_norm": 1.0837169885635376,
154
+ "learning_rate": 1.4575745834947696e-05,
155
+ "loss": 1.1264,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.2841275991217874,
160
+ "grad_norm": 0.8157379031181335,
161
+ "learning_rate": 1.4317448017564252e-05,
162
+ "loss": 1.2216,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.29704248999095956,
167
+ "grad_norm": 0.4470981955528259,
168
+ "learning_rate": 1.4059150200180808e-05,
169
+ "loss": 1.1543,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.30995738086013175,
174
+ "grad_norm": 0.9872229695320129,
175
+ "learning_rate": 1.3800852382797368e-05,
176
+ "loss": 1.1293,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.3228722717293039,
181
+ "grad_norm": 1.2851194143295288,
182
+ "learning_rate": 1.3542554565413924e-05,
183
+ "loss": 1.1619,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.335787162598476,
188
+ "grad_norm": 1.0529409646987915,
189
+ "learning_rate": 1.328425674803048e-05,
190
+ "loss": 1.0468,
191
+ "step": 2600
192
+ },
193
+ {
194
+ "epoch": 0.3487020534676482,
195
+ "grad_norm": 1.2335134744644165,
196
+ "learning_rate": 1.3025958930647038e-05,
197
+ "loss": 1.1292,
198
+ "step": 2700
199
+ },
200
+ {
201
+ "epoch": 0.36161694433682035,
202
+ "grad_norm": 1.165204405784607,
203
+ "learning_rate": 1.2767661113263594e-05,
204
+ "loss": 1.0324,
205
+ "step": 2800
206
+ },
207
+ {
208
+ "epoch": 0.37453183520599254,
209
+ "grad_norm": 0.4545508623123169,
210
+ "learning_rate": 1.250936329588015e-05,
211
+ "loss": 1.0776,
212
+ "step": 2900
213
+ },
214
+ {
215
+ "epoch": 0.38744672607516467,
216
+ "grad_norm": 1.1217703819274902,
217
+ "learning_rate": 1.225106547849671e-05,
218
+ "loss": 1.0673,
219
+ "step": 3000
220
+ },
221
+ {
222
+ "epoch": 0.4003616169443368,
223
+ "grad_norm": 1.204528570175171,
224
+ "learning_rate": 1.1992767661113265e-05,
225
+ "loss": 1.1664,
226
+ "step": 3100
227
+ },
228
+ {
229
+ "epoch": 0.413276507813509,
230
+ "grad_norm": 1.8890794515609741,
231
+ "learning_rate": 1.1734469843729821e-05,
232
+ "loss": 1.0947,
233
+ "step": 3200
234
+ },
235
+ {
236
+ "epoch": 0.42619139868268113,
237
+ "grad_norm": 1.4399609565734863,
238
+ "learning_rate": 1.147617202634638e-05,
239
+ "loss": 1.115,
240
+ "step": 3300
241
+ },
242
+ {
243
+ "epoch": 0.43910628955185327,
244
+ "grad_norm": 0.8998225331306458,
245
+ "learning_rate": 1.1217874208962935e-05,
246
+ "loss": 1.0569,
247
+ "step": 3400
248
+ },
249
+ {
250
+ "epoch": 0.45202118042102546,
251
+ "grad_norm": 1.2747713327407837,
252
+ "learning_rate": 1.0959576391579491e-05,
253
+ "loss": 1.0758,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 0.4649360712901976,
258
+ "grad_norm": 1.2398267984390259,
259
+ "learning_rate": 1.0701278574196047e-05,
260
+ "loss": 1.0722,
261
+ "step": 3600
262
+ },
263
+ {
264
+ "epoch": 0.47785096215936973,
265
+ "grad_norm": 0.7766038179397583,
266
+ "learning_rate": 1.0442980756812607e-05,
267
+ "loss": 1.1556,
268
+ "step": 3700
269
+ },
270
+ {
271
+ "epoch": 0.4907658530285419,
272
+ "grad_norm": 1.2244646549224854,
273
+ "learning_rate": 1.0184682939429163e-05,
274
+ "loss": 1.1066,
275
+ "step": 3800
276
+ },
277
+ {
278
+ "epoch": 0.5036807438977141,
279
+ "grad_norm": 1.1265727281570435,
280
+ "learning_rate": 9.926385122045719e-06,
281
+ "loss": 1.0832,
282
+ "step": 3900
283
+ },
284
+ {
285
+ "epoch": 0.5165956347668862,
286
+ "grad_norm": 1.4965732097625732,
287
+ "learning_rate": 9.668087304662275e-06,
288
+ "loss": 1.1945,
289
+ "step": 4000
290
+ },
291
+ {
292
+ "epoch": 0.5295105256360584,
293
+ "grad_norm": 1.170291543006897,
294
+ "learning_rate": 9.409789487278833e-06,
295
+ "loss": 1.079,
296
+ "step": 4100
297
+ },
298
+ {
299
+ "epoch": 0.5424254165052306,
300
+ "grad_norm": 0.47167250514030457,
301
+ "learning_rate": 9.15149166989539e-06,
302
+ "loss": 1.0811,
303
+ "step": 4200
304
+ },
305
+ {
306
+ "epoch": 0.5553403073744027,
307
+ "grad_norm": 1.5530108213424683,
308
+ "learning_rate": 8.893193852511947e-06,
309
+ "loss": 1.0456,
310
+ "step": 4300
311
+ },
312
+ {
313
+ "epoch": 0.5682551982435748,
314
+ "grad_norm": 1.426579475402832,
315
+ "learning_rate": 8.634896035128504e-06,
316
+ "loss": 1.0797,
317
+ "step": 4400
318
+ },
319
+ {
320
+ "epoch": 0.581170089112747,
321
+ "grad_norm": 1.656485676765442,
322
+ "learning_rate": 8.37659821774506e-06,
323
+ "loss": 1.1384,
324
+ "step": 4500
325
+ },
326
+ {
327
+ "epoch": 0.5940849799819191,
328
+ "grad_norm": 1.8213322162628174,
329
+ "learning_rate": 8.118300400361617e-06,
330
+ "loss": 1.0484,
331
+ "step": 4600
332
+ },
333
+ {
334
+ "epoch": 0.6069998708510913,
335
+ "grad_norm": 0.9146257042884827,
336
+ "learning_rate": 7.860002582978174e-06,
337
+ "loss": 1.0798,
338
+ "step": 4700
339
+ },
340
+ {
341
+ "epoch": 0.6199147617202635,
342
+ "grad_norm": 0.8420510292053223,
343
+ "learning_rate": 7.601704765594732e-06,
344
+ "loss": 1.1371,
345
+ "step": 4800
346
+ },
347
+ {
348
+ "epoch": 0.6328296525894356,
349
+ "grad_norm": 1.728549599647522,
350
+ "learning_rate": 7.343406948211288e-06,
351
+ "loss": 1.1104,
352
+ "step": 4900
353
+ },
354
+ {
355
+ "epoch": 0.6457445434586078,
356
+ "grad_norm": 0.6792052388191223,
357
+ "learning_rate": 7.085109130827845e-06,
358
+ "loss": 1.1497,
359
+ "step": 5000
360
+ },
361
+ {
362
+ "epoch": 0.65865943432778,
363
+ "grad_norm": 1.167297124862671,
364
+ "learning_rate": 6.826811313444401e-06,
365
+ "loss": 1.1146,
366
+ "step": 5100
367
+ },
368
+ {
369
+ "epoch": 0.671574325196952,
370
+ "grad_norm": 0.5329355001449585,
371
+ "learning_rate": 6.568513496060959e-06,
372
+ "loss": 1.0569,
373
+ "step": 5200
374
+ },
375
+ {
376
+ "epoch": 0.6844892160661242,
377
+ "grad_norm": 1.3186862468719482,
378
+ "learning_rate": 6.310215678677516e-06,
379
+ "loss": 1.023,
380
+ "step": 5300
381
+ },
382
+ {
383
+ "epoch": 0.6974041069352964,
384
+ "grad_norm": 1.4624109268188477,
385
+ "learning_rate": 6.051917861294072e-06,
386
+ "loss": 1.1174,
387
+ "step": 5400
388
+ },
389
+ {
390
+ "epoch": 0.7103189978044685,
391
+ "grad_norm": 1.1120996475219727,
392
+ "learning_rate": 5.79362004391063e-06,
393
+ "loss": 1.048,
394
+ "step": 5500
395
+ },
396
+ {
397
+ "epoch": 0.7232338886736407,
398
+ "grad_norm": 1.1070384979248047,
399
+ "learning_rate": 5.535322226527187e-06,
400
+ "loss": 1.1,
401
+ "step": 5600
402
+ },
403
+ {
404
+ "epoch": 0.7361487795428129,
405
+ "grad_norm": 0.46000921726226807,
406
+ "learning_rate": 5.277024409143743e-06,
407
+ "loss": 1.0562,
408
+ "step": 5700
409
+ },
410
+ {
411
+ "epoch": 0.7490636704119851,
412
+ "grad_norm": 1.4388511180877686,
413
+ "learning_rate": 5.0187265917603005e-06,
414
+ "loss": 1.0263,
415
+ "step": 5800
416
+ },
417
+ {
418
+ "epoch": 0.7619785612811572,
419
+ "grad_norm": 1.0894064903259277,
420
+ "learning_rate": 4.7604287743768566e-06,
421
+ "loss": 1.0688,
422
+ "step": 5900
423
+ },
424
+ {
425
+ "epoch": 0.7748934521503293,
426
+ "grad_norm": 0.36538398265838623,
427
+ "learning_rate": 4.5021309569934135e-06,
428
+ "loss": 1.0626,
429
+ "step": 6000
430
+ }
431
+ ],
432
+ "logging_steps": 100,
433
+ "max_steps": 7743,
434
+ "num_input_tokens_seen": 0,
435
+ "num_train_epochs": 1,
436
+ "save_steps": 200,
437
+ "stateful_callbacks": {
438
+ "TrainerControl": {
439
+ "args": {
440
+ "should_epoch_stop": false,
441
+ "should_evaluate": false,
442
+ "should_log": false,
443
+ "should_save": true,
444
+ "should_training_stop": false
445
+ },
446
+ "attributes": {}
447
+ }
448
+ },
449
+ "total_flos": 9.988164550656e+16,
450
+ "train_batch_size": 2,
451
+ "trial_name": null,
452
+ "trial_params": null
453
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:141220ac54fbb53dfb18470ccb584f1400f8d573c7fa133b58338e5f6e4505e7
3
+ size 5112
vocab.json ADDED
The diff for this file is too large to render. See raw diff