ironrock commited on
Commit
328813a
1 Parent(s): bff47a2

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": 64,
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": 128,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "down_proj",
24
+ "k_proj",
25
+ "gate_proj",
26
+ "v_proj",
27
+ "up_proj",
28
+ "o_proj",
29
+ "q_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 sha256:75cb876f0ad4274e5d3679c7ff5dd13ccdc9b4c2e79095c7a76c883c76975465
3
+ size 1342238560
checkpoint-180/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3612fff323d722c9a6b1521af18de0e28cd70e884adc36e84ad1d4e3335d81c
3
+ size 2684732882
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": 0.004782966338098049,
3
+ "best_model_checkpoint": "./mistral/22-04-24-Weni-WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.25-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": 24.6901912689209,
14
+ "learning_rate": 5e-06,
15
+ "logits/chosen": -1.8365566730499268,
16
+ "logits/rejected": -1.8444175720214844,
17
+ "logps/chosen": -195.56666564941406,
18
+ "logps/rejected": -191.41812133789062,
19
+ "loss": 0.653,
20
+ "rewards/accuracies": 0.4000000059604645,
21
+ "rewards/chosen": 0.09110366553068161,
22
+ "rewards/margins": 0.10920021682977676,
23
+ "rewards/rejected": -0.018096545711159706,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.6451612903225806,
28
+ "grad_norm": 13.191404342651367,
29
+ "learning_rate": 4.71264367816092e-06,
30
+ "logits/chosen": -1.7314943075180054,
31
+ "logits/rejected": -1.766556978225708,
32
+ "logps/chosen": -137.64279174804688,
33
+ "logps/rejected": -220.5197296142578,
34
+ "loss": 0.3701,
35
+ "rewards/accuracies": 0.949999988079071,
36
+ "rewards/chosen": 1.1793702840805054,
37
+ "rewards/margins": 1.4335505962371826,
38
+ "rewards/rejected": -0.2541801631450653,
39
+ "step": 20
40
+ },
41
+ {
42
+ "epoch": 0.967741935483871,
43
+ "grad_norm": 20.181856155395508,
44
+ "learning_rate": 4.42528735632184e-06,
45
+ "logits/chosen": -1.8526036739349365,
46
+ "logits/rejected": -1.86077880859375,
47
+ "logps/chosen": -121.78877258300781,
48
+ "logps/rejected": -151.2501678466797,
49
+ "loss": 0.225,
50
+ "rewards/accuracies": 1.0,
51
+ "rewards/chosen": 1.4271174669265747,
52
+ "rewards/margins": 1.875509262084961,
53
+ "rewards/rejected": -0.4483918249607086,
54
+ "step": 30
55
+ },
56
+ {
57
+ "epoch": 0.967741935483871,
58
+ "eval_logits/chosen": -1.9326385259628296,
59
+ "eval_logits/rejected": -1.9565868377685547,
60
+ "eval_logps/chosen": -123.71134185791016,
61
+ "eval_logps/rejected": -215.0025634765625,
62
+ "eval_loss": 0.22270560264587402,
63
+ "eval_rewards/accuracies": 1.0,
64
+ "eval_rewards/chosen": 2.6680667400360107,
65
+ "eval_rewards/margins": 3.676541566848755,
66
+ "eval_rewards/rejected": -1.008474588394165,
67
+ "eval_runtime": 15.7165,
68
+ "eval_samples_per_second": 1.782,
69
+ "eval_steps_per_second": 0.445,
70
+ "step": 30
71
+ },
72
+ {
73
+ "epoch": 1.2903225806451613,
74
+ "grad_norm": 1.0404773950576782,
75
+ "learning_rate": 4.137931034482759e-06,
76
+ "logits/chosen": -1.9101307392120361,
77
+ "logits/rejected": -1.9370834827423096,
78
+ "logps/chosen": -146.01133728027344,
79
+ "logps/rejected": -237.4972686767578,
80
+ "loss": 0.0848,
81
+ "rewards/accuracies": 1.0,
82
+ "rewards/chosen": 3.0706539154052734,
83
+ "rewards/margins": 5.080114364624023,
84
+ "rewards/rejected": -2.009460926055908,
85
+ "step": 40
86
+ },
87
+ {
88
+ "epoch": 1.6129032258064515,
89
+ "grad_norm": 17.344457626342773,
90
+ "learning_rate": 3.850574712643678e-06,
91
+ "logits/chosen": -1.8972657918930054,
92
+ "logits/rejected": -1.9069604873657227,
93
+ "logps/chosen": -195.85150146484375,
94
+ "logps/rejected": -158.05677795410156,
95
+ "loss": 0.0755,
96
+ "rewards/accuracies": 0.949999988079071,
97
+ "rewards/chosen": 3.0010573863983154,
98
+ "rewards/margins": 4.110104560852051,
99
+ "rewards/rejected": -1.1090469360351562,
100
+ "step": 50
101
+ },
102
+ {
103
+ "epoch": 1.935483870967742,
104
+ "grad_norm": 0.7190752029418945,
105
+ "learning_rate": 3.563218390804598e-06,
106
+ "logits/chosen": -1.8297414779663086,
107
+ "logits/rejected": -1.857456922531128,
108
+ "logps/chosen": -144.957275390625,
109
+ "logps/rejected": -232.25784301757812,
110
+ "loss": 0.0853,
111
+ "rewards/accuracies": 0.949999988079071,
112
+ "rewards/chosen": 3.4944889545440674,
113
+ "rewards/margins": 5.610640525817871,
114
+ "rewards/rejected": -2.116152286529541,
115
+ "step": 60
116
+ },
117
+ {
118
+ "epoch": 1.935483870967742,
119
+ "eval_logits/chosen": -1.9170362949371338,
120
+ "eval_logits/rejected": -1.9400348663330078,
121
+ "eval_logps/chosen": -118.40864562988281,
122
+ "eval_logps/rejected": -221.06422424316406,
123
+ "eval_loss": 0.10952840745449066,
124
+ "eval_rewards/accuracies": 1.0,
125
+ "eval_rewards/chosen": 3.7286033630371094,
126
+ "eval_rewards/margins": 5.949405193328857,
127
+ "eval_rewards/rejected": -2.220801830291748,
128
+ "eval_runtime": 15.4022,
129
+ "eval_samples_per_second": 1.818,
130
+ "eval_steps_per_second": 0.454,
131
+ "step": 60
132
+ },
133
+ {
134
+ "epoch": 2.258064516129032,
135
+ "grad_norm": 6.895229339599609,
136
+ "learning_rate": 3.2758620689655175e-06,
137
+ "logits/chosen": -1.7604904174804688,
138
+ "logits/rejected": -1.7763350009918213,
139
+ "logps/chosen": -94.25442504882812,
140
+ "logps/rejected": -200.06292724609375,
141
+ "loss": 0.0336,
142
+ "rewards/accuracies": 1.0,
143
+ "rewards/chosen": 3.892274856567383,
144
+ "rewards/margins": 7.140706539154053,
145
+ "rewards/rejected": -3.248431444168091,
146
+ "step": 70
147
+ },
148
+ {
149
+ "epoch": 2.5806451612903225,
150
+ "grad_norm": 3.1107871532440186,
151
+ "learning_rate": 2.988505747126437e-06,
152
+ "logits/chosen": -1.773847222328186,
153
+ "logits/rejected": -1.7859563827514648,
154
+ "logps/chosen": -134.7067108154297,
155
+ "logps/rejected": -175.28102111816406,
156
+ "loss": 0.0191,
157
+ "rewards/accuracies": 0.949999988079071,
158
+ "rewards/chosen": 3.6734061241149902,
159
+ "rewards/margins": 6.411807060241699,
160
+ "rewards/rejected": -2.738400936126709,
161
+ "step": 80
162
+ },
163
+ {
164
+ "epoch": 2.903225806451613,
165
+ "grad_norm": 0.4654656946659088,
166
+ "learning_rate": 2.7011494252873567e-06,
167
+ "logits/chosen": -1.8632606267929077,
168
+ "logits/rejected": -1.8870786428451538,
169
+ "logps/chosen": -152.00164794921875,
170
+ "logps/rejected": -194.2272186279297,
171
+ "loss": 0.0285,
172
+ "rewards/accuracies": 0.949999988079071,
173
+ "rewards/chosen": 3.7533652782440186,
174
+ "rewards/margins": 6.942251682281494,
175
+ "rewards/rejected": -3.1888861656188965,
176
+ "step": 90
177
+ },
178
+ {
179
+ "epoch": 2.903225806451613,
180
+ "eval_logits/chosen": -1.9063053131103516,
181
+ "eval_logits/rejected": -1.930100679397583,
182
+ "eval_logps/chosen": -116.32177734375,
183
+ "eval_logps/rejected": -229.86549377441406,
184
+ "eval_loss": 0.05446601286530495,
185
+ "eval_rewards/accuracies": 1.0,
186
+ "eval_rewards/chosen": 4.145977973937988,
187
+ "eval_rewards/margins": 8.12703800201416,
188
+ "eval_rewards/rejected": -3.9810593128204346,
189
+ "eval_runtime": 15.401,
190
+ "eval_samples_per_second": 1.818,
191
+ "eval_steps_per_second": 0.455,
192
+ "step": 90
193
+ },
194
+ {
195
+ "epoch": 3.225806451612903,
196
+ "grad_norm": 0.023089677095413208,
197
+ "learning_rate": 2.4137931034482762e-06,
198
+ "logits/chosen": -1.8187129497528076,
199
+ "logits/rejected": -1.8321533203125,
200
+ "logps/chosen": -118.27799987792969,
201
+ "logps/rejected": -238.4324493408203,
202
+ "loss": 0.0031,
203
+ "rewards/accuracies": 1.0,
204
+ "rewards/chosen": 4.572004318237305,
205
+ "rewards/margins": 9.180875778198242,
206
+ "rewards/rejected": -4.608872413635254,
207
+ "step": 100
208
+ },
209
+ {
210
+ "epoch": 3.5483870967741935,
211
+ "grad_norm": 0.9019374251365662,
212
+ "learning_rate": 2.1264367816091954e-06,
213
+ "logits/chosen": -1.903515100479126,
214
+ "logits/rejected": -1.9107078313827515,
215
+ "logps/chosen": -154.8245849609375,
216
+ "logps/rejected": -195.23399353027344,
217
+ "loss": 0.0127,
218
+ "rewards/accuracies": 1.0,
219
+ "rewards/chosen": 2.906761646270752,
220
+ "rewards/margins": 8.078901290893555,
221
+ "rewards/rejected": -5.172140121459961,
222
+ "step": 110
223
+ },
224
+ {
225
+ "epoch": 3.870967741935484,
226
+ "grad_norm": 0.11791550368070602,
227
+ "learning_rate": 1.839080459770115e-06,
228
+ "logits/chosen": -1.7719767093658447,
229
+ "logits/rejected": -1.7978557348251343,
230
+ "logps/chosen": -135.73764038085938,
231
+ "logps/rejected": -233.47396850585938,
232
+ "loss": 0.001,
233
+ "rewards/accuracies": 1.0,
234
+ "rewards/chosen": 3.7881596088409424,
235
+ "rewards/margins": 10.058608055114746,
236
+ "rewards/rejected": -6.270449161529541,
237
+ "step": 120
238
+ },
239
+ {
240
+ "epoch": 3.870967741935484,
241
+ "eval_logits/chosen": -1.8902080059051514,
242
+ "eval_logits/rejected": -1.9141491651535034,
243
+ "eval_logps/chosen": -116.14888763427734,
244
+ "eval_logps/rejected": -235.0476531982422,
245
+ "eval_loss": 0.04676542058587074,
246
+ "eval_rewards/accuracies": 1.0,
247
+ "eval_rewards/chosen": 4.18055534362793,
248
+ "eval_rewards/margins": 9.198049545288086,
249
+ "eval_rewards/rejected": -5.01749324798584,
250
+ "eval_runtime": 15.4024,
251
+ "eval_samples_per_second": 1.818,
252
+ "eval_steps_per_second": 0.454,
253
+ "step": 120
254
+ },
255
+ {
256
+ "epoch": 4.193548387096774,
257
+ "grad_norm": 0.062105003744363785,
258
+ "learning_rate": 1.5517241379310346e-06,
259
+ "logits/chosen": -1.7840442657470703,
260
+ "logits/rejected": -1.7999883890151978,
261
+ "logps/chosen": -116.44026184082031,
262
+ "logps/rejected": -252.85220336914062,
263
+ "loss": 0.0192,
264
+ "rewards/accuracies": 1.0,
265
+ "rewards/chosen": 2.862762451171875,
266
+ "rewards/margins": 9.177450180053711,
267
+ "rewards/rejected": -6.314688205718994,
268
+ "step": 130
269
+ },
270
+ {
271
+ "epoch": 4.516129032258064,
272
+ "grad_norm": 0.3371919095516205,
273
+ "learning_rate": 1.2643678160919542e-06,
274
+ "logits/chosen": -1.7637265920639038,
275
+ "logits/rejected": -1.7790952920913696,
276
+ "logps/chosen": -149.11972045898438,
277
+ "logps/rejected": -200.7391357421875,
278
+ "loss": 0.0156,
279
+ "rewards/accuracies": 0.949999988079071,
280
+ "rewards/chosen": 1.933764100074768,
281
+ "rewards/margins": 7.311190128326416,
282
+ "rewards/rejected": -5.377426624298096,
283
+ "step": 140
284
+ },
285
+ {
286
+ "epoch": 4.838709677419355,
287
+ "grad_norm": 0.4724487066268921,
288
+ "learning_rate": 9.770114942528738e-07,
289
+ "logits/chosen": -1.7254791259765625,
290
+ "logits/rejected": -1.754163384437561,
291
+ "logps/chosen": -142.09568786621094,
292
+ "logps/rejected": -264.6880798339844,
293
+ "loss": 0.0021,
294
+ "rewards/accuracies": 1.0,
295
+ "rewards/chosen": 3.6306958198547363,
296
+ "rewards/margins": 9.091299057006836,
297
+ "rewards/rejected": -5.460603713989258,
298
+ "step": 150
299
+ },
300
+ {
301
+ "epoch": 4.838709677419355,
302
+ "eval_logits/chosen": -1.881463885307312,
303
+ "eval_logits/rejected": -1.9056099653244019,
304
+ "eval_logps/chosen": -117.07276916503906,
305
+ "eval_logps/rejected": -239.6072235107422,
306
+ "eval_loss": 0.00868917815387249,
307
+ "eval_rewards/accuracies": 1.0,
308
+ "eval_rewards/chosen": 3.995779514312744,
309
+ "eval_rewards/margins": 9.925186157226562,
310
+ "eval_rewards/rejected": -5.929406642913818,
311
+ "eval_runtime": 15.4035,
312
+ "eval_samples_per_second": 1.818,
313
+ "eval_steps_per_second": 0.454,
314
+ "step": 150
315
+ },
316
+ {
317
+ "epoch": 5.161290322580645,
318
+ "grad_norm": 0.4406607449054718,
319
+ "learning_rate": 6.896551724137931e-07,
320
+ "logits/chosen": -1.8259941339492798,
321
+ "logits/rejected": -1.8320337533950806,
322
+ "logps/chosen": -178.92930603027344,
323
+ "logps/rejected": -274.9721984863281,
324
+ "loss": 0.0028,
325
+ "rewards/accuracies": 1.0,
326
+ "rewards/chosen": 2.2369651794433594,
327
+ "rewards/margins": 9.267016410827637,
328
+ "rewards/rejected": -7.030051231384277,
329
+ "step": 160
330
+ },
331
+ {
332
+ "epoch": 5.483870967741936,
333
+ "grad_norm": 0.02007269859313965,
334
+ "learning_rate": 4.0229885057471266e-07,
335
+ "logits/chosen": -1.7874090671539307,
336
+ "logits/rejected": -1.8095813989639282,
337
+ "logps/chosen": -149.6767120361328,
338
+ "logps/rejected": -237.3863067626953,
339
+ "loss": 0.0006,
340
+ "rewards/accuracies": 1.0,
341
+ "rewards/chosen": 4.129965782165527,
342
+ "rewards/margins": 11.051237106323242,
343
+ "rewards/rejected": -6.921273708343506,
344
+ "step": 170
345
+ },
346
+ {
347
+ "epoch": 5.806451612903226,
348
+ "grad_norm": 0.5593944787979126,
349
+ "learning_rate": 1.1494252873563219e-07,
350
+ "logits/chosen": -1.8051351308822632,
351
+ "logits/rejected": -1.8224855661392212,
352
+ "logps/chosen": -168.2032928466797,
353
+ "logps/rejected": -221.9829864501953,
354
+ "loss": 0.0014,
355
+ "rewards/accuracies": 1.0,
356
+ "rewards/chosen": 2.834609270095825,
357
+ "rewards/margins": 9.291410446166992,
358
+ "rewards/rejected": -6.456801414489746,
359
+ "step": 180
360
+ },
361
+ {
362
+ "epoch": 5.806451612903226,
363
+ "eval_logits/chosen": -1.8786267042160034,
364
+ "eval_logits/rejected": -1.9027243852615356,
365
+ "eval_logps/chosen": -117.46734619140625,
366
+ "eval_logps/rejected": -240.9935760498047,
367
+ "eval_loss": 0.004782966338098049,
368
+ "eval_rewards/accuracies": 1.0,
369
+ "eval_rewards/chosen": 3.9168648719787598,
370
+ "eval_rewards/margins": 10.123543739318848,
371
+ "eval_rewards/rejected": -6.206678867340088,
372
+ "eval_runtime": 15.4023,
373
+ "eval_samples_per_second": 1.818,
374
+ "eval_steps_per_second": 0.454,
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:b64e66ea1f05cb0d2ed18c0eafe68e7039e2b9fa4f6c712b2f68b8fb7d83e353
3
+ size 5432