ErrorAI commited on
Commit
7fb661a
·
verified ·
1 Parent(s): 08766f3

Training in progress, step 40, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: codellama/CodeLlama-7b-Instruct-hf
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 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
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": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "v_proj",
25
+ "down_proj",
26
+ "up_proj",
27
+ "k_proj",
28
+ "gate_proj",
29
+ "o_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6e54aa5507649b71136784aa1ccbc32479317114dc04be896eff788aef24e28
3
+ size 80013120
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8c17f9ec5505ad5720c12bab8c560fc7c09c95f1f5cbb3662d28cb357f9973a
3
+ size 41119636
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:25944a86b4311667ca0d8e976fd57edbaeacd781ce10053ab6367692f528dcb4
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70821a9d7c55b75b506d5f7525812e93e66d6bdbf69ee0e6cd9414eab88d9934
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "▁<PRE>",
4
+ "▁<MID>",
5
+ "▁<SUF>",
6
+ "▁<EOT>"
7
+ ],
8
+ "bos_token": {
9
+ "content": "<s>",
10
+ "lstrip": false,
11
+ "normalized": false,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ },
15
+ "eos_token": {
16
+ "content": "</s>",
17
+ "lstrip": false,
18
+ "normalized": false,
19
+ "rstrip": false,
20
+ "single_word": false
21
+ },
22
+ "pad_token": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false
28
+ },
29
+ "unk_token": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false
35
+ }
36
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
3
+ size 500058
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "32007": {
30
+ "content": "▁<PRE>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "32008": {
38
+ "content": "▁<SUF>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "32009": {
46
+ "content": "▁<MID>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "32010": {
54
+ "content": "▁<EOT>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ }
61
+ },
62
+ "additional_special_tokens": [
63
+ "▁<PRE>",
64
+ "▁<MID>",
65
+ "▁<SUF>",
66
+ "▁<EOT>"
67
+ ],
68
+ "bos_token": "<s>",
69
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
70
+ "clean_up_tokenization_spaces": false,
71
+ "eos_token": "</s>",
72
+ "eot_token": "▁<EOT>",
73
+ "fill_token": "<FILL_ME>",
74
+ "legacy": null,
75
+ "middle_token": "▁<MID>",
76
+ "model_max_length": 1000000000000000019884624838656,
77
+ "pad_token": "</s>",
78
+ "prefix_token": "▁<PRE>",
79
+ "sp_model_kwargs": {},
80
+ "suffix_token": "▁<SUF>",
81
+ "tokenizer_class": "CodeLlamaTokenizer",
82
+ "unk_token": "<unk>",
83
+ "use_default_system_prompt": false
84
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,313 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.25236593059936907,
5
+ "eval_steps": 500,
6
+ "global_step": 40,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.006309148264984227,
13
+ "grad_norm": 0.08122078329324722,
14
+ "learning_rate": 2e-05,
15
+ "loss": 0.9348,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.012618296529968454,
20
+ "grad_norm": 0.09981664270162582,
21
+ "learning_rate": 4e-05,
22
+ "loss": 0.949,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.01892744479495268,
27
+ "grad_norm": 0.08370371907949448,
28
+ "learning_rate": 6e-05,
29
+ "loss": 0.9748,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.025236593059936908,
34
+ "grad_norm": 0.0894215777516365,
35
+ "learning_rate": 8e-05,
36
+ "loss": 0.9911,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.031545741324921134,
41
+ "grad_norm": 0.0916009172797203,
42
+ "learning_rate": 0.0001,
43
+ "loss": 0.9871,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.03785488958990536,
48
+ "grad_norm": 0.09079522639513016,
49
+ "learning_rate": 9.998959640946033e-05,
50
+ "loss": 0.9016,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.04416403785488959,
55
+ "grad_norm": 0.12411531060934067,
56
+ "learning_rate": 9.995838996722914e-05,
57
+ "loss": 0.893,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.050473186119873815,
62
+ "grad_norm": 0.1265832930803299,
63
+ "learning_rate": 9.990639365966836e-05,
64
+ "loss": 1.0112,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.056782334384858045,
69
+ "grad_norm": 0.13917522132396698,
70
+ "learning_rate": 9.983362912470966e-05,
71
+ "loss": 0.8098,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.06309148264984227,
76
+ "grad_norm": 0.1482095718383789,
77
+ "learning_rate": 9.974012664285021e-05,
78
+ "loss": 0.8991,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.0694006309148265,
83
+ "grad_norm": 0.16923168301582336,
84
+ "learning_rate": 9.962592512455138e-05,
85
+ "loss": 0.9495,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.07570977917981073,
90
+ "grad_norm": 0.16411684453487396,
91
+ "learning_rate": 9.949107209404665e-05,
92
+ "loss": 0.9129,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.08201892744479496,
97
+ "grad_norm": 0.17656166851520538,
98
+ "learning_rate": 9.933562366956445e-05,
99
+ "loss": 0.9338,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.08832807570977919,
104
+ "grad_norm": 0.15851706266403198,
105
+ "learning_rate": 9.915964453997515e-05,
106
+ "loss": 0.9225,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.0946372239747634,
111
+ "grad_norm": 0.18486008048057556,
112
+ "learning_rate": 9.896320793787106e-05,
113
+ "loss": 0.8555,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.10094637223974763,
118
+ "grad_norm": 0.19103007018566132,
119
+ "learning_rate": 9.874639560909117e-05,
120
+ "loss": 0.8159,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.10725552050473186,
125
+ "grad_norm": 0.23179474472999573,
126
+ "learning_rate": 9.850929777870324e-05,
127
+ "loss": 0.9873,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.11356466876971609,
132
+ "grad_norm": 0.2652742862701416,
133
+ "learning_rate": 9.8252013113457e-05,
134
+ "loss": 0.8497,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.11987381703470032,
139
+ "grad_norm": 0.2264404147863388,
140
+ "learning_rate": 9.797464868072488e-05,
141
+ "loss": 0.8765,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.12618296529968454,
146
+ "grad_norm": 0.24474796652793884,
147
+ "learning_rate": 9.767731990394638e-05,
148
+ "loss": 0.8052,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.13249211356466878,
153
+ "grad_norm": 0.269016832113266,
154
+ "learning_rate": 9.73601505145955e-05,
155
+ "loss": 0.9063,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.138801261829653,
160
+ "grad_norm": 0.2572309970855713,
161
+ "learning_rate": 9.702327250069059e-05,
162
+ "loss": 0.7935,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.14511041009463724,
167
+ "grad_norm": 0.3271322548389435,
168
+ "learning_rate": 9.666682605186835e-05,
169
+ "loss": 0.8726,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.15141955835962145,
174
+ "grad_norm": 0.28820446133613586,
175
+ "learning_rate": 9.62909595010449e-05,
176
+ "loss": 0.8967,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.15772870662460567,
181
+ "grad_norm": 0.3345547914505005,
182
+ "learning_rate": 9.589582926268798e-05,
183
+ "loss": 0.885,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.1640378548895899,
188
+ "grad_norm": 0.38636305928230286,
189
+ "learning_rate": 9.548159976772592e-05,
190
+ "loss": 0.9092,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.17034700315457413,
195
+ "grad_norm": 0.29606032371520996,
196
+ "learning_rate": 9.504844339512095e-05,
197
+ "loss": 0.8138,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.17665615141955837,
202
+ "grad_norm": 0.42070284485816956,
203
+ "learning_rate": 9.45965404001347e-05,
204
+ "loss": 0.8221,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.1829652996845426,
209
+ "grad_norm": 0.34343740344047546,
210
+ "learning_rate": 9.412607883931607e-05,
211
+ "loss": 0.7221,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.1892744479495268,
216
+ "grad_norm": 0.33411553502082825,
217
+ "learning_rate": 9.363725449224282e-05,
218
+ "loss": 0.7089,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.19558359621451105,
223
+ "grad_norm": 0.4334317147731781,
224
+ "learning_rate": 9.313027078004903e-05,
225
+ "loss": 0.6226,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.20189274447949526,
230
+ "grad_norm": 0.4283258318901062,
231
+ "learning_rate": 9.260533868077284e-05,
232
+ "loss": 0.769,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.2082018927444795,
237
+ "grad_norm": 0.5199871063232422,
238
+ "learning_rate": 9.206267664155907e-05,
239
+ "loss": 0.8372,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.21451104100946372,
244
+ "grad_norm": 0.724338173866272,
245
+ "learning_rate": 9.150251048775403e-05,
246
+ "loss": 0.8136,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.22082018927444794,
251
+ "grad_norm": 0.5071340203285217,
252
+ "learning_rate": 9.092507332892968e-05,
253
+ "loss": 0.8445,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.22712933753943218,
258
+ "grad_norm": 0.962692379951477,
259
+ "learning_rate": 9.03306054618765e-05,
260
+ "loss": 0.9972,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.2334384858044164,
265
+ "grad_norm": 0.8752840161323547,
266
+ "learning_rate": 8.971935427060562e-05,
267
+ "loss": 0.9947,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.23974763406940064,
272
+ "grad_norm": 1.1921372413635254,
273
+ "learning_rate": 8.90915741234015e-05,
274
+ "loss": 1.0846,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.24605678233438485,
279
+ "grad_norm": 1.8513576984405518,
280
+ "learning_rate": 8.84475262669681e-05,
281
+ "loss": 0.6984,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.25236593059936907,
286
+ "grad_norm": 0.2870368957519531,
287
+ "learning_rate": 8.778747871771292e-05,
288
+ "loss": 0.8456,
289
+ "step": 40
290
+ }
291
+ ],
292
+ "logging_steps": 1,
293
+ "max_steps": 159,
294
+ "num_input_tokens_seen": 0,
295
+ "num_train_epochs": 2,
296
+ "save_steps": 40,
297
+ "stateful_callbacks": {
298
+ "TrainerControl": {
299
+ "args": {
300
+ "should_epoch_stop": false,
301
+ "should_evaluate": false,
302
+ "should_log": false,
303
+ "should_save": true,
304
+ "should_training_stop": false
305
+ },
306
+ "attributes": {}
307
+ }
308
+ },
309
+ "total_flos": 3.013186097774592e+16,
310
+ "train_batch_size": 4,
311
+ "trial_name": null,
312
+ "trial_params": null
313
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7ee01e3c4627744c37788c2b874c78252be448d1dfe5f57da2316c3f48bd360
3
+ size 6776