ironrock commited on
Commit
0cdc7d5
1 Parent(s): c7eaf7a

Training in progress, step 180, checkpoint

Browse files
checkpoint-180/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged
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 0.10.0
checkpoint-180/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged",
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": 32,
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
+ "v_proj",
24
+ "down_proj",
25
+ "q_proj",
26
+ "k_proj",
27
+ "o_proj",
28
+ "gate_proj",
29
+ "up_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-180/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9375e4299b66071d20a4b3c1af5964eb4ca451935b4545bd7dbe0c1d64dd8795
3
+ size 671149168
checkpoint-180/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0e7ab7032ec0f26f1e8fbb743a793603f611fb31ee0c672bce05487e159905f
3
+ size 1342555602
checkpoint-180/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae78313eb528c8d3695eebaf4de3539bd0a0bc6ee18c66af1ee183442f1758a0
3
+ size 15024
checkpoint-180/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1b38031f60d9e88601d369ef46bcdcf2b5b03f2cb4ba93853bcb2328df7ebb7c
3
+ size 15024
checkpoint-180/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f58092375c93d237cd0e3149aecfbf83e2acdae46279e07a32920d01cb507e64
3
+ size 15024
checkpoint-180/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83cd4bbff9962da7ec6787fcea8d65df7096917f9a5902e249ba7aee8887fe5f
3
+ size 15024
checkpoint-180/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b47d7566b2e3ec8e96007d3ecf18c3cfe003d3d58d6c01ae710dc49dfbfb649
3
+ size 1064
checkpoint-180/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
+ }
checkpoint-180/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-180/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-180/tokenizer_config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "{% for message in messages %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>\\n' + message['content'] + '\\n<</SYS>>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ ' ' + message['content'] + ' ' + eos_token }}{% endif %}{% endfor %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": true,
36
+ "max_lenght": 8192,
37
+ "max_length": 8192,
38
+ "model_max_length": 1000000000000000019884624838656,
39
+ "pad_token": "<unk>",
40
+ "padding": true,
41
+ "sp_model_kwargs": {},
42
+ "spaces_between_special_tokens": false,
43
+ "stride": 0,
44
+ "tokenizer_class": "LlamaTokenizer",
45
+ "truncation_side": "right",
46
+ "truncation_strategy": "longest_first",
47
+ "unk_token": "<unk>",
48
+ "use_default_system_prompt": false
49
+ }
checkpoint-180/trainer_state.json ADDED
@@ -0,0 +1,387 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.008221210911870003,
3
+ "best_model_checkpoint": "./mistral/22-04-24-Weni-WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.24-DPO_Experiment on DPO with other hyperparameters and best SFT model of WeniGPT-2_max_steps-180_batch_8_2024-04-22_ppid_9/checkpoint-180",
4
+ "epoch": 5.806451612903226,
5
+ "eval_steps": 30,
6
+ "global_step": 180,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3225806451612903,
13
+ "grad_norm": 18.102449417114258,
14
+ "learning_rate": 4.971264367816092e-06,
15
+ "logits/chosen": -1.8189502954483032,
16
+ "logits/rejected": -1.8384132385253906,
17
+ "logps/chosen": -183.32998657226562,
18
+ "logps/rejected": -217.82275390625,
19
+ "loss": 0.6772,
20
+ "rewards/accuracies": 0.3499999940395355,
21
+ "rewards/chosen": 0.028210829943418503,
22
+ "rewards/margins": 0.022311249747872353,
23
+ "rewards/rejected": 0.0058995820581912994,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.6451612903225806,
28
+ "grad_norm": 20.25644302368164,
29
+ "learning_rate": 4.71264367816092e-06,
30
+ "logits/chosen": -1.8640209436416626,
31
+ "logits/rejected": -1.8766177892684937,
32
+ "logps/chosen": -152.9895477294922,
33
+ "logps/rejected": -246.1815948486328,
34
+ "loss": 0.4471,
35
+ "rewards/accuracies": 0.949999988079071,
36
+ "rewards/chosen": 0.5268799662590027,
37
+ "rewards/margins": 0.6505464315414429,
38
+ "rewards/rejected": -0.12366630882024765,
39
+ "step": 20
40
+ },
41
+ {
42
+ "epoch": 0.967741935483871,
43
+ "grad_norm": 23.647602081298828,
44
+ "learning_rate": 4.42528735632184e-06,
45
+ "logits/chosen": -1.8179765939712524,
46
+ "logits/rejected": -1.8386437892913818,
47
+ "logps/chosen": -154.68057250976562,
48
+ "logps/rejected": -222.60986328125,
49
+ "loss": 0.2964,
50
+ "rewards/accuracies": 0.949999988079071,
51
+ "rewards/chosen": 1.1595659255981445,
52
+ "rewards/margins": 1.5337896347045898,
53
+ "rewards/rejected": -0.3742235600948334,
54
+ "step": 30
55
+ },
56
+ {
57
+ "epoch": 0.967741935483871,
58
+ "eval_logits/chosen": -1.922228217124939,
59
+ "eval_logits/rejected": -1.9377918243408203,
60
+ "eval_logps/chosen": -190.84751892089844,
61
+ "eval_logps/rejected": -194.19583129882812,
62
+ "eval_loss": 0.25011441111564636,
63
+ "eval_rewards/accuracies": 0.8571428656578064,
64
+ "eval_rewards/chosen": 0.8715044856071472,
65
+ "eval_rewards/margins": 1.0091807842254639,
66
+ "eval_rewards/rejected": -0.13767634332180023,
67
+ "eval_runtime": 15.9917,
68
+ "eval_samples_per_second": 1.751,
69
+ "eval_steps_per_second": 0.438,
70
+ "step": 30
71
+ },
72
+ {
73
+ "epoch": 1.2903225806451613,
74
+ "grad_norm": 14.360973358154297,
75
+ "learning_rate": 4.137931034482759e-06,
76
+ "logits/chosen": -1.7312577962875366,
77
+ "logits/rejected": -1.720571517944336,
78
+ "logps/chosen": -133.35958862304688,
79
+ "logps/rejected": -174.8995361328125,
80
+ "loss": 0.1702,
81
+ "rewards/accuracies": 0.949999988079071,
82
+ "rewards/chosen": 2.0476880073547363,
83
+ "rewards/margins": 2.6601643562316895,
84
+ "rewards/rejected": -0.6124762296676636,
85
+ "step": 40
86
+ },
87
+ {
88
+ "epoch": 1.6129032258064515,
89
+ "grad_norm": 7.5603814125061035,
90
+ "learning_rate": 3.850574712643678e-06,
91
+ "logits/chosen": -1.814079999923706,
92
+ "logits/rejected": -1.8412790298461914,
93
+ "logps/chosen": -135.43051147460938,
94
+ "logps/rejected": -218.2666473388672,
95
+ "loss": 0.1671,
96
+ "rewards/accuracies": 1.0,
97
+ "rewards/chosen": 2.6564764976501465,
98
+ "rewards/margins": 3.553129196166992,
99
+ "rewards/rejected": -0.8966524004936218,
100
+ "step": 50
101
+ },
102
+ {
103
+ "epoch": 1.935483870967742,
104
+ "grad_norm": 1.6607310771942139,
105
+ "learning_rate": 3.563218390804598e-06,
106
+ "logits/chosen": -1.8398892879486084,
107
+ "logits/rejected": -1.8503402471542358,
108
+ "logps/chosen": -147.40121459960938,
109
+ "logps/rejected": -175.20462036132812,
110
+ "loss": 0.1148,
111
+ "rewards/accuracies": 0.949999988079071,
112
+ "rewards/chosen": 2.9025120735168457,
113
+ "rewards/margins": 3.795964002609253,
114
+ "rewards/rejected": -0.8934518098831177,
115
+ "step": 60
116
+ },
117
+ {
118
+ "epoch": 1.935483870967742,
119
+ "eval_logits/chosen": -1.933964729309082,
120
+ "eval_logits/rejected": -1.9501203298568726,
121
+ "eval_logps/chosen": -186.97340393066406,
122
+ "eval_logps/rejected": -197.0532989501953,
123
+ "eval_loss": 0.11131088435649872,
124
+ "eval_rewards/accuracies": 0.8571428656578064,
125
+ "eval_rewards/chosen": 1.6463254690170288,
126
+ "eval_rewards/margins": 2.355492115020752,
127
+ "eval_rewards/rejected": -0.7091667056083679,
128
+ "eval_runtime": 15.9564,
129
+ "eval_samples_per_second": 1.755,
130
+ "eval_steps_per_second": 0.439,
131
+ "step": 60
132
+ },
133
+ {
134
+ "epoch": 2.258064516129032,
135
+ "grad_norm": 1.0933343172073364,
136
+ "learning_rate": 3.2758620689655175e-06,
137
+ "logits/chosen": -1.8214714527130127,
138
+ "logits/rejected": -1.8398475646972656,
139
+ "logps/chosen": -123.23341369628906,
140
+ "logps/rejected": -169.8323974609375,
141
+ "loss": 0.0958,
142
+ "rewards/accuracies": 0.8999999761581421,
143
+ "rewards/chosen": 3.013068914413452,
144
+ "rewards/margins": 3.9151065349578857,
145
+ "rewards/rejected": -0.9020377993583679,
146
+ "step": 70
147
+ },
148
+ {
149
+ "epoch": 2.5806451612903225,
150
+ "grad_norm": 1.6529628038406372,
151
+ "learning_rate": 2.988505747126437e-06,
152
+ "logits/chosen": -1.8991115093231201,
153
+ "logits/rejected": -1.9303562641143799,
154
+ "logps/chosen": -126.10279846191406,
155
+ "logps/rejected": -249.8067169189453,
156
+ "loss": 0.0542,
157
+ "rewards/accuracies": 1.0,
158
+ "rewards/chosen": 2.2060089111328125,
159
+ "rewards/margins": 4.4772820472717285,
160
+ "rewards/rejected": -2.271273136138916,
161
+ "step": 80
162
+ },
163
+ {
164
+ "epoch": 2.903225806451613,
165
+ "grad_norm": 1.3197133541107178,
166
+ "learning_rate": 2.7011494252873567e-06,
167
+ "logits/chosen": -1.9221817255020142,
168
+ "logits/rejected": -1.926163911819458,
169
+ "logps/chosen": -130.5477752685547,
170
+ "logps/rejected": -212.64401245117188,
171
+ "loss": 0.0655,
172
+ "rewards/accuracies": 1.0,
173
+ "rewards/chosen": 3.013507127761841,
174
+ "rewards/margins": 4.679448127746582,
175
+ "rewards/rejected": -1.665941596031189,
176
+ "step": 90
177
+ },
178
+ {
179
+ "epoch": 2.903225806451613,
180
+ "eval_logits/chosen": -1.9456537961959839,
181
+ "eval_logits/rejected": -1.9615535736083984,
182
+ "eval_logps/chosen": -184.64419555664062,
183
+ "eval_logps/rejected": -200.91307067871094,
184
+ "eval_loss": 0.04710844159126282,
185
+ "eval_rewards/accuracies": 1.0,
186
+ "eval_rewards/chosen": 2.112164258956909,
187
+ "eval_rewards/margins": 3.5932810306549072,
188
+ "eval_rewards/rejected": -1.4811171293258667,
189
+ "eval_runtime": 15.9489,
190
+ "eval_samples_per_second": 1.756,
191
+ "eval_steps_per_second": 0.439,
192
+ "step": 90
193
+ },
194
+ {
195
+ "epoch": 3.225806451612903,
196
+ "grad_norm": 2.4013547897338867,
197
+ "learning_rate": 2.4137931034482762e-06,
198
+ "logits/chosen": -1.9110629558563232,
199
+ "logits/rejected": -1.9329030513763428,
200
+ "logps/chosen": -179.32308959960938,
201
+ "logps/rejected": -215.67276000976562,
202
+ "loss": 0.0299,
203
+ "rewards/accuracies": 1.0,
204
+ "rewards/chosen": 3.2354037761688232,
205
+ "rewards/margins": 5.5415449142456055,
206
+ "rewards/rejected": -2.306140899658203,
207
+ "step": 100
208
+ },
209
+ {
210
+ "epoch": 3.5483870967741935,
211
+ "grad_norm": 0.48385706543922424,
212
+ "learning_rate": 2.1264367816091954e-06,
213
+ "logits/chosen": -1.823560357093811,
214
+ "logits/rejected": -1.8429410457611084,
215
+ "logps/chosen": -130.30816650390625,
216
+ "logps/rejected": -174.5900421142578,
217
+ "loss": 0.0258,
218
+ "rewards/accuracies": 1.0,
219
+ "rewards/chosen": 3.3877785205841064,
220
+ "rewards/margins": 5.6454548835754395,
221
+ "rewards/rejected": -2.257676362991333,
222
+ "step": 110
223
+ },
224
+ {
225
+ "epoch": 3.870967741935484,
226
+ "grad_norm": 1.8376439809799194,
227
+ "learning_rate": 1.839080459770115e-06,
228
+ "logits/chosen": -1.8113921880722046,
229
+ "logits/rejected": -1.84001886844635,
230
+ "logps/chosen": -103.96414947509766,
231
+ "logps/rejected": -215.3662567138672,
232
+ "loss": 0.0279,
233
+ "rewards/accuracies": 1.0,
234
+ "rewards/chosen": 3.767807722091675,
235
+ "rewards/margins": 6.228771686553955,
236
+ "rewards/rejected": -2.4609639644622803,
237
+ "step": 120
238
+ },
239
+ {
240
+ "epoch": 3.870967741935484,
241
+ "eval_logits/chosen": -1.9401109218597412,
242
+ "eval_logits/rejected": -1.9554412364959717,
243
+ "eval_logps/chosen": -182.276611328125,
244
+ "eval_logps/rejected": -205.226806640625,
245
+ "eval_loss": 0.021757256239652634,
246
+ "eval_rewards/accuracies": 1.0,
247
+ "eval_rewards/chosen": 2.5856850147247314,
248
+ "eval_rewards/margins": 4.929553031921387,
249
+ "eval_rewards/rejected": -2.343867063522339,
250
+ "eval_runtime": 15.9568,
251
+ "eval_samples_per_second": 1.755,
252
+ "eval_steps_per_second": 0.439,
253
+ "step": 120
254
+ },
255
+ {
256
+ "epoch": 4.193548387096774,
257
+ "grad_norm": 1.051574945449829,
258
+ "learning_rate": 1.5517241379310346e-06,
259
+ "logits/chosen": -1.7715396881103516,
260
+ "logits/rejected": -1.800817847251892,
261
+ "logps/chosen": -138.27340698242188,
262
+ "logps/rejected": -260.06707763671875,
263
+ "loss": 0.0085,
264
+ "rewards/accuracies": 1.0,
265
+ "rewards/chosen": 3.7098026275634766,
266
+ "rewards/margins": 6.347060203552246,
267
+ "rewards/rejected": -2.6372570991516113,
268
+ "step": 130
269
+ },
270
+ {
271
+ "epoch": 4.516129032258064,
272
+ "grad_norm": 0.16267022490501404,
273
+ "learning_rate": 1.2643678160919542e-06,
274
+ "logits/chosen": -1.9076522588729858,
275
+ "logits/rejected": -1.918107032775879,
276
+ "logps/chosen": -137.17124938964844,
277
+ "logps/rejected": -228.12289428710938,
278
+ "loss": 0.0115,
279
+ "rewards/accuracies": 1.0,
280
+ "rewards/chosen": 3.818920135498047,
281
+ "rewards/margins": 6.401350498199463,
282
+ "rewards/rejected": -2.582429885864258,
283
+ "step": 140
284
+ },
285
+ {
286
+ "epoch": 4.838709677419355,
287
+ "grad_norm": 0.16799844801425934,
288
+ "learning_rate": 9.770114942528738e-07,
289
+ "logits/chosen": -1.8482967615127563,
290
+ "logits/rejected": -1.8852136135101318,
291
+ "logps/chosen": -141.45462036132812,
292
+ "logps/rejected": -242.177001953125,
293
+ "loss": 0.0103,
294
+ "rewards/accuracies": 1.0,
295
+ "rewards/chosen": 2.5341572761535645,
296
+ "rewards/margins": 6.518949031829834,
297
+ "rewards/rejected": -3.9847919940948486,
298
+ "step": 150
299
+ },
300
+ {
301
+ "epoch": 4.838709677419355,
302
+ "eval_logits/chosen": -1.9384099245071411,
303
+ "eval_logits/rejected": -1.9533499479293823,
304
+ "eval_logps/chosen": -181.96482849121094,
305
+ "eval_logps/rejected": -207.08641052246094,
306
+ "eval_loss": 0.011733152903616428,
307
+ "eval_rewards/accuracies": 1.0,
308
+ "eval_rewards/chosen": 2.648041009902954,
309
+ "eval_rewards/margins": 5.363831043243408,
310
+ "eval_rewards/rejected": -2.715789794921875,
311
+ "eval_runtime": 15.9585,
312
+ "eval_samples_per_second": 1.755,
313
+ "eval_steps_per_second": 0.439,
314
+ "step": 150
315
+ },
316
+ {
317
+ "epoch": 5.161290322580645,
318
+ "grad_norm": 1.120850682258606,
319
+ "learning_rate": 6.896551724137931e-07,
320
+ "logits/chosen": -1.8036308288574219,
321
+ "logits/rejected": -1.8216148614883423,
322
+ "logps/chosen": -128.22866821289062,
323
+ "logps/rejected": -178.14285278320312,
324
+ "loss": 0.0188,
325
+ "rewards/accuracies": 1.0,
326
+ "rewards/chosen": 4.342329978942871,
327
+ "rewards/margins": 7.637845516204834,
328
+ "rewards/rejected": -3.2955150604248047,
329
+ "step": 160
330
+ },
331
+ {
332
+ "epoch": 5.483870967741936,
333
+ "grad_norm": 0.16266854107379913,
334
+ "learning_rate": 4.0229885057471266e-07,
335
+ "logits/chosen": -1.8207981586456299,
336
+ "logits/rejected": -1.833634376525879,
337
+ "logps/chosen": -129.1037139892578,
338
+ "logps/rejected": -241.2229766845703,
339
+ "loss": 0.0084,
340
+ "rewards/accuracies": 1.0,
341
+ "rewards/chosen": 3.3222718238830566,
342
+ "rewards/margins": 6.783128261566162,
343
+ "rewards/rejected": -3.4608569145202637,
344
+ "step": 170
345
+ },
346
+ {
347
+ "epoch": 5.806451612903226,
348
+ "grad_norm": 0.10640519857406616,
349
+ "learning_rate": 1.1494252873563219e-07,
350
+ "logits/chosen": -1.8020225763320923,
351
+ "logits/rejected": -1.8122638463974,
352
+ "logps/chosen": -130.1725616455078,
353
+ "logps/rejected": -187.38192749023438,
354
+ "loss": 0.0052,
355
+ "rewards/accuracies": 1.0,
356
+ "rewards/chosen": 3.5991992950439453,
357
+ "rewards/margins": 6.856170654296875,
358
+ "rewards/rejected": -3.2569713592529297,
359
+ "step": 180
360
+ },
361
+ {
362
+ "epoch": 5.806451612903226,
363
+ "eval_logits/chosen": -1.9320443868637085,
364
+ "eval_logits/rejected": -1.9468201398849487,
365
+ "eval_logps/chosen": -182.0274200439453,
366
+ "eval_logps/rejected": -208.50425720214844,
367
+ "eval_loss": 0.008221210911870003,
368
+ "eval_rewards/accuracies": 1.0,
369
+ "eval_rewards/chosen": 2.6355252265930176,
370
+ "eval_rewards/margins": 5.634881496429443,
371
+ "eval_rewards/rejected": -2.999356508255005,
372
+ "eval_runtime": 15.9642,
373
+ "eval_samples_per_second": 1.754,
374
+ "eval_steps_per_second": 0.438,
375
+ "step": 180
376
+ }
377
+ ],
378
+ "logging_steps": 10,
379
+ "max_steps": 180,
380
+ "num_input_tokens_seen": 0,
381
+ "num_train_epochs": 6,
382
+ "save_steps": 90,
383
+ "total_flos": 0.0,
384
+ "train_batch_size": 1,
385
+ "trial_name": null,
386
+ "trial_params": null
387
+ }
checkpoint-180/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:baec7ea2b41466caf7e604a031129dac45a16ab7fc0b825bc8ae51c489e5f800
3
+ size 5432