afrias5 commited on
Commit
a747625
·
verified ·
1 Parent(s): f2ce6f1

Upload 13 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: meta-llama/CodeLlama-7b-Python-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 0.14.0
adapter_config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "meta-llama/CodeLlama-7b-Python-hf",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": null,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 16,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": [
21
+ "embed_tokens",
22
+ "lm_head"
23
+ ],
24
+ "peft_type": "LORA",
25
+ "r": 4,
26
+ "rank_pattern": {},
27
+ "revision": null,
28
+ "target_modules": [
29
+ "o_proj",
30
+ "k_proj",
31
+ "v_proj",
32
+ "down_proj",
33
+ "gate_proj",
34
+ "up_proj",
35
+ "q_proj"
36
+ ],
37
+ "task_type": "CAUSAL_LM",
38
+ "use_dora": false,
39
+ "use_rslora": false
40
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec97f1e0c0962e9eaed9c7d0423025c9e0073c7fec85716497a1f985d856b894
3
+ size 1613097400
added_tokens.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "▁<EOT>": 32003,
3
+ "▁<MID>": 32001,
4
+ "▁<PRE>": 32000,
5
+ "▁<SUF>": 32002
6
+ }
config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "_name_or_path": "meta-llama/CodeLlama-7b-Python-hf",
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "eos_token_id": 2,
11
+ "head_dim": 128,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 4096,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 11008,
16
+ "max_position_embeddings": 16384,
17
+ "mlp_bias": false,
18
+ "model_type": "llama",
19
+ "num_attention_heads": 32,
20
+ "num_hidden_layers": 32,
21
+ "num_key_value_heads": 32,
22
+ "pretraining_tp": 1,
23
+ "rms_norm_eps": 1e-05,
24
+ "rope_scaling": null,
25
+ "rope_theta": 1000000,
26
+ "tie_word_embeddings": false,
27
+ "torch_dtype": "bfloat16",
28
+ "transformers_version": "4.46.3",
29
+ "use_cache": false,
30
+ "vocab_size": 32004
31
+ }
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94c0deb65df5a386216261e311874925bd399466795db207c987a6f97a02aac4
3
+ size 14512
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea20925165456a5e73c2e76da10999ef83018cb3194298fbac1b336867d7c1fb
3
+ size 14512
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf6a9a1e39c0655c6941309388d2a028b5b8dbbca031ca2500bdfcdc9f2c01aa
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "</s>",
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "32000": {
30
+ "content": "▁<PRE>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "32001": {
38
+ "content": "▁<MID>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "32002": {
46
+ "content": "▁<SUF>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "32003": {
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
+ "clean_up_tokenization_spaces": false,
70
+ "eos_token": "</s>",
71
+ "eot_token": "▁<EOT>",
72
+ "fill_token": "<FILL_ME>",
73
+ "legacy": null,
74
+ "middle_token": "▁<MID>",
75
+ "model_max_length": 1000000000000000019884624838656,
76
+ "pad_token": "</s>",
77
+ "prefix_token": "▁<PRE>",
78
+ "sp_model_kwargs": {},
79
+ "suffix_first": false,
80
+ "suffix_token": "▁<SUF>",
81
+ "tokenizer_class": "CodeLlamaTokenizer",
82
+ "unk_token": "<unk>",
83
+ "use_default_system_prompt": false,
84
+ "use_fast": true
85
+ }
trainer_state.json ADDED
@@ -0,0 +1,663 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 9.710526315789474,
5
+ "eval_steps": 500,
6
+ "global_step": 90,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.10526315789473684,
13
+ "grad_norm": 14.31118392944336,
14
+ "learning_rate": 2e-05,
15
+ "loss": 2.4434,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.21052631578947367,
20
+ "grad_norm": 10.385307312011719,
21
+ "learning_rate": 4e-05,
22
+ "loss": 2.5855,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.3157894736842105,
27
+ "grad_norm": 18.257061004638672,
28
+ "learning_rate": 6e-05,
29
+ "loss": 2.5327,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.42105263157894735,
34
+ "grad_norm": 9.803607940673828,
35
+ "learning_rate": 8e-05,
36
+ "loss": 2.401,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.5263157894736842,
41
+ "grad_norm": 10.1410493850708,
42
+ "learning_rate": 0.0001,
43
+ "loss": 2.3054,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.631578947368421,
48
+ "grad_norm": 8.388815879821777,
49
+ "learning_rate": 0.00012,
50
+ "loss": 2.3298,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.7368421052631579,
55
+ "grad_norm": 7.938385963439941,
56
+ "learning_rate": 0.00014,
57
+ "loss": 2.0323,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.8421052631578947,
62
+ "grad_norm": 7.110404968261719,
63
+ "learning_rate": 0.00016,
64
+ "loss": 2.0579,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.9473684210526315,
69
+ "grad_norm": 3.487077474594116,
70
+ "learning_rate": 0.00018,
71
+ "loss": 1.6501,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 1.0789473684210527,
76
+ "grad_norm": 5.468748092651367,
77
+ "learning_rate": 0.0002,
78
+ "loss": 2.8277,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 1.1842105263157894,
83
+ "grad_norm": 2.3874928951263428,
84
+ "learning_rate": 0.0001999229036240723,
85
+ "loss": 1.2231,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 1.2894736842105263,
90
+ "grad_norm": 5.447896480560303,
91
+ "learning_rate": 0.0001996917333733128,
92
+ "loss": 1.5471,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 1.3947368421052633,
97
+ "grad_norm": 3.8631601333618164,
98
+ "learning_rate": 0.00019930684569549264,
99
+ "loss": 1.1826,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 1.5,
104
+ "grad_norm": 12.651008605957031,
105
+ "learning_rate": 0.00019876883405951377,
106
+ "loss": 1.4406,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 1.6052631578947367,
111
+ "grad_norm": 2.3405802249908447,
112
+ "learning_rate": 0.00019807852804032305,
113
+ "loss": 1.0181,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 1.7105263157894737,
118
+ "grad_norm": 6.5888671875,
119
+ "learning_rate": 0.00019723699203976766,
120
+ "loss": 1.2595,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 1.8157894736842106,
125
+ "grad_norm": 4.1633758544921875,
126
+ "learning_rate": 0.00019624552364536473,
127
+ "loss": 1.0053,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 1.9210526315789473,
132
+ "grad_norm": 2.3248441219329834,
133
+ "learning_rate": 0.00019510565162951537,
134
+ "loss": 0.9642,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 2.0526315789473686,
139
+ "grad_norm": 5.530248641967773,
140
+ "learning_rate": 0.00019381913359224842,
141
+ "loss": 2.2521,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 2.1578947368421053,
146
+ "grad_norm": 1.3485472202301025,
147
+ "learning_rate": 0.0001923879532511287,
148
+ "loss": 0.7636,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 2.263157894736842,
153
+ "grad_norm": 2.785285472869873,
154
+ "learning_rate": 0.00019081431738250814,
155
+ "loss": 1.0499,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 2.3684210526315788,
160
+ "grad_norm": 2.2571582794189453,
161
+ "learning_rate": 0.0001891006524188368,
162
+ "loss": 0.8719,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 2.473684210526316,
167
+ "grad_norm": 1.8401918411254883,
168
+ "learning_rate": 0.00018724960070727972,
169
+ "loss": 0.8511,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 2.5789473684210527,
174
+ "grad_norm": 2.386539936065674,
175
+ "learning_rate": 0.00018526401643540922,
176
+ "loss": 0.8703,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 2.6842105263157894,
181
+ "grad_norm": 1.384438157081604,
182
+ "learning_rate": 0.00018314696123025454,
183
+ "loss": 0.6987,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 2.7894736842105265,
188
+ "grad_norm": 1.705210566520691,
189
+ "learning_rate": 0.00018090169943749476,
190
+ "loss": 0.8401,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 2.8947368421052633,
195
+ "grad_norm": 1.8555241823196411,
196
+ "learning_rate": 0.00017853169308807448,
197
+ "loss": 1.023,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 3.026315789473684,
202
+ "grad_norm": 3.781007766723633,
203
+ "learning_rate": 0.0001760405965600031,
204
+ "loss": 1.4192,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 3.1315789473684212,
209
+ "grad_norm": 1.589735507965088,
210
+ "learning_rate": 0.00017343225094356855,
211
+ "loss": 0.7493,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 3.236842105263158,
216
+ "grad_norm": 2.163848638534546,
217
+ "learning_rate": 0.00017071067811865476,
218
+ "loss": 1.0892,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 3.3421052631578947,
223
+ "grad_norm": 1.8226677179336548,
224
+ "learning_rate": 0.0001678800745532942,
225
+ "loss": 0.7154,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 3.4473684210526314,
230
+ "grad_norm": 1.5850944519042969,
231
+ "learning_rate": 0.00016494480483301836,
232
+ "loss": 0.8619,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 3.5526315789473686,
237
+ "grad_norm": 1.5230872631072998,
238
+ "learning_rate": 0.00016190939493098344,
239
+ "loss": 0.6566,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 3.6578947368421053,
244
+ "grad_norm": 1.870915174484253,
245
+ "learning_rate": 0.00015877852522924732,
246
+ "loss": 0.8506,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 3.763157894736842,
251
+ "grad_norm": 1.698755145072937,
252
+ "learning_rate": 0.00015555702330196023,
253
+ "loss": 0.762,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 3.8684210526315788,
258
+ "grad_norm": 1.6367840766906738,
259
+ "learning_rate": 0.0001522498564715949,
260
+ "loss": 0.7136,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 3.973684210526316,
265
+ "grad_norm": 2.9744303226470947,
266
+ "learning_rate": 0.00014886212414969553,
267
+ "loss": 0.9568,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 4.105263157894737,
272
+ "grad_norm": 1.3073623180389404,
273
+ "learning_rate": 0.00014539904997395468,
274
+ "loss": 0.6397,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 4.2105263157894735,
279
+ "grad_norm": 1.2846301794052124,
280
+ "learning_rate": 0.0001418659737537428,
281
+ "loss": 0.4418,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 4.315789473684211,
286
+ "grad_norm": 1.6083595752716064,
287
+ "learning_rate": 0.000138268343236509,
288
+ "loss": 0.7064,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 4.421052631578947,
293
+ "grad_norm": 1.2033262252807617,
294
+ "learning_rate": 0.0001346117057077493,
295
+ "loss": 0.5957,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 4.526315789473684,
300
+ "grad_norm": 1.3466635942459106,
301
+ "learning_rate": 0.00013090169943749476,
302
+ "loss": 0.7566,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 4.631578947368421,
307
+ "grad_norm": 1.616913914680481,
308
+ "learning_rate": 0.00012714404498650743,
309
+ "loss": 0.7539,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 4.7368421052631575,
314
+ "grad_norm": 1.4130221605300903,
315
+ "learning_rate": 0.00012334453638559057,
316
+ "loss": 0.4622,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 4.842105263157895,
321
+ "grad_norm": 1.3309547901153564,
322
+ "learning_rate": 0.00011950903220161285,
323
+ "loss": 0.7263,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 4.947368421052632,
328
+ "grad_norm": 1.354387879371643,
329
+ "learning_rate": 0.0001156434465040231,
330
+ "loss": 0.5625,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 5.078947368421052,
335
+ "grad_norm": 3.008500337600708,
336
+ "learning_rate": 0.00011175373974578378,
337
+ "loss": 0.7619,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 5.184210526315789,
342
+ "grad_norm": 1.5682655572891235,
343
+ "learning_rate": 0.0001078459095727845,
344
+ "loss": 0.3858,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 5.2894736842105265,
349
+ "grad_norm": 1.8495001792907715,
350
+ "learning_rate": 0.00010392598157590688,
351
+ "loss": 0.4573,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 5.394736842105263,
356
+ "grad_norm": 2.635056972503662,
357
+ "learning_rate": 0.0001,
358
+ "loss": 0.7921,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 5.5,
363
+ "grad_norm": 1.5783675909042358,
364
+ "learning_rate": 9.607401842409317e-05,
365
+ "loss": 0.3204,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 5.605263157894737,
370
+ "grad_norm": 2.0661301612854004,
371
+ "learning_rate": 9.215409042721552e-05,
372
+ "loss": 0.6708,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 5.7105263157894735,
377
+ "grad_norm": 1.4969799518585205,
378
+ "learning_rate": 8.824626025421626e-05,
379
+ "loss": 0.4052,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 5.815789473684211,
384
+ "grad_norm": 1.6124238967895508,
385
+ "learning_rate": 8.435655349597689e-05,
386
+ "loss": 0.4829,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 5.921052631578947,
391
+ "grad_norm": 1.431242823600769,
392
+ "learning_rate": 8.049096779838719e-05,
393
+ "loss": 0.4273,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 6.052631578947368,
398
+ "grad_norm": 3.2095937728881836,
399
+ "learning_rate": 7.66554636144095e-05,
400
+ "loss": 0.8437,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 6.157894736842105,
405
+ "grad_norm": 0.8892129063606262,
406
+ "learning_rate": 7.285595501349258e-05,
407
+ "loss": 0.2127,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 6.2631578947368425,
412
+ "grad_norm": 1.6543368101119995,
413
+ "learning_rate": 6.909830056250527e-05,
414
+ "loss": 0.4305,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 6.368421052631579,
419
+ "grad_norm": 1.4523223638534546,
420
+ "learning_rate": 6.538829429225069e-05,
421
+ "loss": 0.3762,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 6.473684210526316,
426
+ "grad_norm": 0.9503556489944458,
427
+ "learning_rate": 6.173165676349103e-05,
428
+ "loss": 0.3628,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 6.578947368421053,
433
+ "grad_norm": 1.4268410205841064,
434
+ "learning_rate": 5.8134026246257225e-05,
435
+ "loss": 0.4751,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 6.684210526315789,
440
+ "grad_norm": 0.9671533703804016,
441
+ "learning_rate": 5.4600950026045326e-05,
442
+ "loss": 0.2934,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 6.7894736842105265,
447
+ "grad_norm": 1.1906907558441162,
448
+ "learning_rate": 5.113787585030454e-05,
449
+ "loss": 0.2345,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 6.894736842105263,
454
+ "grad_norm": 1.5449588298797607,
455
+ "learning_rate": 4.7750143528405126e-05,
456
+ "loss": 0.4283,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 7.026315789473684,
461
+ "grad_norm": 2.223735809326172,
462
+ "learning_rate": 4.444297669803981e-05,
463
+ "loss": 0.4928,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 7.131578947368421,
468
+ "grad_norm": 0.9985809326171875,
469
+ "learning_rate": 4.12214747707527e-05,
470
+ "loss": 0.3185,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 7.2368421052631575,
475
+ "grad_norm": 1.0797033309936523,
476
+ "learning_rate": 3.8090605069016595e-05,
477
+ "loss": 0.4603,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 7.342105263157895,
482
+ "grad_norm": 1.0436688661575317,
483
+ "learning_rate": 3.5055195166981645e-05,
484
+ "loss": 0.4009,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 7.447368421052632,
489
+ "grad_norm": 1.1368814706802368,
490
+ "learning_rate": 3.211992544670582e-05,
491
+ "loss": 0.2486,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 7.552631578947368,
496
+ "grad_norm": 1.0792099237442017,
497
+ "learning_rate": 2.9289321881345254e-05,
498
+ "loss": 0.3308,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 7.657894736842105,
503
+ "grad_norm": 0.9220963716506958,
504
+ "learning_rate": 2.6567749056431467e-05,
505
+ "loss": 0.3044,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 7.7631578947368425,
510
+ "grad_norm": 1.1355466842651367,
511
+ "learning_rate": 2.3959403439996907e-05,
512
+ "loss": 0.2657,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 7.868421052631579,
517
+ "grad_norm": 0.9300779104232788,
518
+ "learning_rate": 2.146830691192553e-05,
519
+ "loss": 0.2587,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 7.973684210526316,
524
+ "grad_norm": 2.0543935298919678,
525
+ "learning_rate": 1.9098300562505266e-05,
526
+ "loss": 0.5869,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 8.105263157894736,
531
+ "grad_norm": 1.0328178405761719,
532
+ "learning_rate": 1.6853038769745467e-05,
533
+ "loss": 0.3424,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 8.210526315789474,
538
+ "grad_norm": 1.0409759283065796,
539
+ "learning_rate": 1.4735983564590783e-05,
540
+ "loss": 0.3577,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 8.31578947368421,
545
+ "grad_norm": 1.2581232786178589,
546
+ "learning_rate": 1.2750399292720283e-05,
547
+ "loss": 0.354,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 8.421052631578947,
552
+ "grad_norm": 1.073712706565857,
553
+ "learning_rate": 1.0899347581163221e-05,
554
+ "loss": 0.3332,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 8.526315789473685,
559
+ "grad_norm": 1.0400298833847046,
560
+ "learning_rate": 9.185682617491863e-06,
561
+ "loss": 0.3112,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 8.631578947368421,
566
+ "grad_norm": 1.7903478145599365,
567
+ "learning_rate": 7.612046748871327e-06,
568
+ "loss": 0.4138,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 8.736842105263158,
573
+ "grad_norm": 1.1479917764663696,
574
+ "learning_rate": 6.180866407751595e-06,
575
+ "loss": 0.2799,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 8.842105263157894,
580
+ "grad_norm": 1.129294514656067,
581
+ "learning_rate": 4.8943483704846475e-06,
582
+ "loss": 0.3345,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 8.947368421052632,
587
+ "grad_norm": 1.549669623374939,
588
+ "learning_rate": 3.7544763546352834e-06,
589
+ "loss": 0.3564,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 9.078947368421053,
594
+ "grad_norm": 2.9485905170440674,
595
+ "learning_rate": 2.7630079602323442e-06,
596
+ "loss": 0.4724,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 9.18421052631579,
601
+ "grad_norm": 1.6346909999847412,
602
+ "learning_rate": 1.921471959676957e-06,
603
+ "loss": 0.2448,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 9.289473684210526,
608
+ "grad_norm": 1.600119709968567,
609
+ "learning_rate": 1.231165940486234e-06,
610
+ "loss": 0.2075,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 9.394736842105264,
615
+ "grad_norm": 1.1257387399673462,
616
+ "learning_rate": 6.931543045073708e-07,
617
+ "loss": 0.214,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 9.5,
622
+ "grad_norm": 1.1140049695968628,
623
+ "learning_rate": 3.0826662668720364e-07,
624
+ "loss": 0.2441,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 9.605263157894736,
629
+ "grad_norm": 1.2646769285202026,
630
+ "learning_rate": 7.709637592770991e-08,
631
+ "loss": 0.2079,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 9.710526315789474,
636
+ "grad_norm": 1.475372314453125,
637
+ "learning_rate": 0.0,
638
+ "loss": 0.4042,
639
+ "step": 90
640
+ }
641
+ ],
642
+ "logging_steps": 1,
643
+ "max_steps": 90,
644
+ "num_input_tokens_seen": 0,
645
+ "num_train_epochs": 10,
646
+ "save_steps": 9,
647
+ "stateful_callbacks": {
648
+ "TrainerControl": {
649
+ "args": {
650
+ "should_epoch_stop": false,
651
+ "should_evaluate": false,
652
+ "should_log": false,
653
+ "should_save": true,
654
+ "should_training_stop": true
655
+ },
656
+ "attributes": {}
657
+ }
658
+ },
659
+ "total_flos": 1.1941180266774528e+17,
660
+ "train_batch_size": 1,
661
+ "trial_name": null,
662
+ "trial_params": null
663
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1667983036846ee79d983f227caa1d8aa9548fb9c191913987340907a3be2aef
3
+ size 6328