baltop commited on
Commit
e38f3d0
1 Parent(s): 0580722

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: google/gemma-2b-it
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 0.9.0
adapter_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/gemma-2b-it",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.1,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 32,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "q_proj",
23
+ "gate_proj",
24
+ "k_proj",
25
+ "o_proj",
26
+ "up_proj",
27
+ "v_proj",
28
+ "down_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_dora": false,
32
+ "use_rslora": false
33
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94167f2c29f47d8cf78aa5e6b42114adf25de5c22f5e537da6dabf1625868b03
3
+ size 156926880
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54b28a4661b18e7d998ed4960cb4de4f5e86adb2c14d9eecbf143e0d336e4488
3
+ size 313998650
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3424380a714d6152a0f2bc081cfef86ce96a85b8e4cd32338eefb420e3a639dc
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1016937f2c03513269c0aa2eb48e00994c84f647846b4918fd2da86df225f377
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05e97791a5e007260de1db7e1692e53150e08cea481e2bf25435553380c147ee
3
+ size 17477929
tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "106": {
38
+ "content": "<start_of_turn>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "107": {
46
+ "content": "<end_of_turn>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ }
53
+ },
54
+ "additional_special_tokens": [
55
+ "<start_of_turn>",
56
+ "<end_of_turn>"
57
+ ],
58
+ "bos_token": "<bos>",
59
+ "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
60
+ "clean_up_tokenization_spaces": false,
61
+ "eos_token": "<eos>",
62
+ "legacy": null,
63
+ "model_max_length": 1000000000000000019884624838656,
64
+ "pad_token": "<pad>",
65
+ "sp_model_kwargs": {},
66
+ "spaces_between_special_tokens": false,
67
+ "tokenizer_class": "GemmaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
trainer_state.json ADDED
@@ -0,0 +1,756 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.8924033522573669,
5
+ "eval_steps": 500,
6
+ "global_step": 10500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "grad_norm": 0.87135249376297,
14
+ "learning_rate": 0.00019819808452978876,
15
+ "loss": 2.1425,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.04,
20
+ "grad_norm": 0.8564028739929199,
21
+ "learning_rate": 0.0001963956283227154,
22
+ "loss": 1.8647,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.05,
27
+ "grad_norm": 0.8958914875984192,
28
+ "learning_rate": 0.000194593172115642,
29
+ "loss": 1.8182,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.07,
34
+ "grad_norm": 0.8007214069366455,
35
+ "learning_rate": 0.00019279071590856862,
36
+ "loss": 1.711,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.09,
41
+ "grad_norm": 0.8793672919273376,
42
+ "learning_rate": 0.00019098825970149526,
43
+ "loss": 1.686,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.11,
48
+ "grad_norm": 0.9486576318740845,
49
+ "learning_rate": 0.00018918580349442187,
50
+ "loss": 1.7068,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.13,
55
+ "grad_norm": 0.8130625486373901,
56
+ "learning_rate": 0.0001873833472873485,
57
+ "loss": 1.6457,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.14,
62
+ "grad_norm": 0.8903294801712036,
63
+ "learning_rate": 0.00018558089108027513,
64
+ "loss": 1.6285,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.16,
69
+ "grad_norm": 0.9597026109695435,
70
+ "learning_rate": 0.0001837784348732017,
71
+ "loss": 1.6305,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.18,
76
+ "grad_norm": 0.7700974941253662,
77
+ "learning_rate": 0.00018197597866612835,
78
+ "loss": 1.6443,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.2,
83
+ "grad_norm": 0.8106345534324646,
84
+ "learning_rate": 0.00018017352245905497,
85
+ "loss": 1.5963,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.22,
90
+ "grad_norm": 1.026309847831726,
91
+ "learning_rate": 0.00017837106625198158,
92
+ "loss": 1.5615,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.23,
97
+ "grad_norm": 0.8697523474693298,
98
+ "learning_rate": 0.00017656861004490822,
99
+ "loss": 1.5295,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.25,
104
+ "grad_norm": 1.2120341062545776,
105
+ "learning_rate": 0.00017476615383783483,
106
+ "loss": 1.4984,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.27,
111
+ "grad_norm": 0.7356016039848328,
112
+ "learning_rate": 0.00017296369763076145,
113
+ "loss": 1.5311,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.29,
118
+ "grad_norm": 0.8384151458740234,
119
+ "learning_rate": 0.00017116124142368809,
120
+ "loss": 1.5632,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.31,
125
+ "grad_norm": 0.8941056132316589,
126
+ "learning_rate": 0.0001693587852166147,
127
+ "loss": 1.492,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.32,
132
+ "grad_norm": 0.7094323039054871,
133
+ "learning_rate": 0.0001675563290095413,
134
+ "loss": 1.4425,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.34,
139
+ "grad_norm": 0.7246663570404053,
140
+ "learning_rate": 0.00016575387280246795,
141
+ "loss": 1.4277,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.36,
146
+ "grad_norm": 0.8121210932731628,
147
+ "learning_rate": 0.00016395141659539456,
148
+ "loss": 1.464,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.38,
153
+ "grad_norm": 0.712011456489563,
154
+ "learning_rate": 0.0001621489603883212,
155
+ "loss": 1.4779,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.4,
160
+ "grad_norm": 0.7419346570968628,
161
+ "learning_rate": 0.00016034650418124782,
162
+ "loss": 1.4669,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.41,
167
+ "grad_norm": 1.0694609880447388,
168
+ "learning_rate": 0.0001585440479741744,
169
+ "loss": 1.4499,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.43,
174
+ "grad_norm": 1.0339300632476807,
175
+ "learning_rate": 0.00015674159176710104,
176
+ "loss": 1.4115,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.45,
181
+ "grad_norm": 1.1224662065505981,
182
+ "learning_rate": 0.00015493913556002766,
183
+ "loss": 1.4353,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.47,
188
+ "grad_norm": 0.8455696702003479,
189
+ "learning_rate": 0.0001531366793529543,
190
+ "loss": 1.3991,
191
+ "step": 2600
192
+ },
193
+ {
194
+ "epoch": 0.49,
195
+ "grad_norm": 0.8783261179924011,
196
+ "learning_rate": 0.0001513342231458809,
197
+ "loss": 1.4174,
198
+ "step": 2700
199
+ },
200
+ {
201
+ "epoch": 0.5,
202
+ "grad_norm": 0.8644577264785767,
203
+ "learning_rate": 0.00014953176693880752,
204
+ "loss": 1.4272,
205
+ "step": 2800
206
+ },
207
+ {
208
+ "epoch": 0.52,
209
+ "grad_norm": 0.804175853729248,
210
+ "learning_rate": 0.00014772931073173416,
211
+ "loss": 1.3904,
212
+ "step": 2900
213
+ },
214
+ {
215
+ "epoch": 0.54,
216
+ "grad_norm": 0.8686081767082214,
217
+ "learning_rate": 0.00014592685452466077,
218
+ "loss": 1.3577,
219
+ "step": 3000
220
+ },
221
+ {
222
+ "epoch": 0.56,
223
+ "grad_norm": 0.8131946325302124,
224
+ "learning_rate": 0.0001441243983175874,
225
+ "loss": 1.3798,
226
+ "step": 3100
227
+ },
228
+ {
229
+ "epoch": 0.58,
230
+ "grad_norm": 0.9579694271087646,
231
+ "learning_rate": 0.00014232194211051403,
232
+ "loss": 1.3705,
233
+ "step": 3200
234
+ },
235
+ {
236
+ "epoch": 0.59,
237
+ "grad_norm": 0.7878475785255432,
238
+ "learning_rate": 0.00014051948590344064,
239
+ "loss": 1.3216,
240
+ "step": 3300
241
+ },
242
+ {
243
+ "epoch": 0.61,
244
+ "grad_norm": 0.9384462833404541,
245
+ "learning_rate": 0.00013871702969636725,
246
+ "loss": 1.3681,
247
+ "step": 3400
248
+ },
249
+ {
250
+ "epoch": 0.63,
251
+ "grad_norm": 0.899638295173645,
252
+ "learning_rate": 0.0001369145734892939,
253
+ "loss": 1.3752,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 0.65,
258
+ "grad_norm": 0.8509306907653809,
259
+ "learning_rate": 0.0001351121172822205,
260
+ "loss": 1.3253,
261
+ "step": 3600
262
+ },
263
+ {
264
+ "epoch": 0.67,
265
+ "grad_norm": 0.712924063205719,
266
+ "learning_rate": 0.00013330966107514712,
267
+ "loss": 1.3318,
268
+ "step": 3700
269
+ },
270
+ {
271
+ "epoch": 0.68,
272
+ "grad_norm": 0.8807259798049927,
273
+ "learning_rate": 0.00013150720486807373,
274
+ "loss": 1.3163,
275
+ "step": 3800
276
+ },
277
+ {
278
+ "epoch": 0.7,
279
+ "grad_norm": 0.9081091284751892,
280
+ "learning_rate": 0.00012970474866100034,
281
+ "loss": 1.3839,
282
+ "step": 3900
283
+ },
284
+ {
285
+ "epoch": 0.72,
286
+ "grad_norm": 1.0412542819976807,
287
+ "learning_rate": 0.00012790229245392698,
288
+ "loss": 1.3057,
289
+ "step": 4000
290
+ },
291
+ {
292
+ "epoch": 0.74,
293
+ "grad_norm": 0.8416357636451721,
294
+ "learning_rate": 0.0001260998362468536,
295
+ "loss": 1.2548,
296
+ "step": 4100
297
+ },
298
+ {
299
+ "epoch": 0.76,
300
+ "grad_norm": 0.8973735570907593,
301
+ "learning_rate": 0.0001242973800397802,
302
+ "loss": 1.3154,
303
+ "step": 4200
304
+ },
305
+ {
306
+ "epoch": 0.77,
307
+ "grad_norm": 0.7394294738769531,
308
+ "learning_rate": 0.00012249492383270685,
309
+ "loss": 1.3079,
310
+ "step": 4300
311
+ },
312
+ {
313
+ "epoch": 0.79,
314
+ "grad_norm": 1.1180624961853027,
315
+ "learning_rate": 0.00012069246762563346,
316
+ "loss": 1.2789,
317
+ "step": 4400
318
+ },
319
+ {
320
+ "epoch": 0.81,
321
+ "grad_norm": 0.8885756134986877,
322
+ "learning_rate": 0.00011889001141856009,
323
+ "loss": 1.2959,
324
+ "step": 4500
325
+ },
326
+ {
327
+ "epoch": 0.83,
328
+ "grad_norm": 1.1742843389511108,
329
+ "learning_rate": 0.00011708755521148672,
330
+ "loss": 1.2486,
331
+ "step": 4600
332
+ },
333
+ {
334
+ "epoch": 0.85,
335
+ "grad_norm": 0.9566686153411865,
336
+ "learning_rate": 0.00011528509900441333,
337
+ "loss": 1.303,
338
+ "step": 4700
339
+ },
340
+ {
341
+ "epoch": 0.87,
342
+ "grad_norm": 1.2613877058029175,
343
+ "learning_rate": 0.00011348264279733996,
344
+ "loss": 1.301,
345
+ "step": 4800
346
+ },
347
+ {
348
+ "epoch": 0.88,
349
+ "grad_norm": 0.9030331969261169,
350
+ "learning_rate": 0.00011168018659026658,
351
+ "loss": 1.3338,
352
+ "step": 4900
353
+ },
354
+ {
355
+ "epoch": 0.9,
356
+ "grad_norm": 1.0433690547943115,
357
+ "learning_rate": 0.00010987773038319318,
358
+ "loss": 1.3068,
359
+ "step": 5000
360
+ },
361
+ {
362
+ "epoch": 0.92,
363
+ "grad_norm": 0.8587890267372131,
364
+ "learning_rate": 0.00010807527417611981,
365
+ "loss": 1.2632,
366
+ "step": 5100
367
+ },
368
+ {
369
+ "epoch": 0.94,
370
+ "grad_norm": 1.0812350511550903,
371
+ "learning_rate": 0.00010627281796904642,
372
+ "loss": 1.278,
373
+ "step": 5200
374
+ },
375
+ {
376
+ "epoch": 0.96,
377
+ "grad_norm": 0.8623504042625427,
378
+ "learning_rate": 0.00010447036176197305,
379
+ "loss": 1.2392,
380
+ "step": 5300
381
+ },
382
+ {
383
+ "epoch": 0.97,
384
+ "grad_norm": 0.8327571749687195,
385
+ "learning_rate": 0.00010266790555489967,
386
+ "loss": 1.2652,
387
+ "step": 5400
388
+ },
389
+ {
390
+ "epoch": 0.99,
391
+ "grad_norm": 0.958329975605011,
392
+ "learning_rate": 0.00010086544934782629,
393
+ "loss": 1.286,
394
+ "step": 5500
395
+ },
396
+ {
397
+ "epoch": 1.01,
398
+ "grad_norm": 0.9664350748062134,
399
+ "learning_rate": 9.906299314075291e-05,
400
+ "loss": 1.1171,
401
+ "step": 5600
402
+ },
403
+ {
404
+ "epoch": 1.03,
405
+ "grad_norm": 0.8452981114387512,
406
+ "learning_rate": 9.726053693367954e-05,
407
+ "loss": 1.0828,
408
+ "step": 5700
409
+ },
410
+ {
411
+ "epoch": 1.05,
412
+ "grad_norm": 1.0611803531646729,
413
+ "learning_rate": 9.545808072660615e-05,
414
+ "loss": 1.1142,
415
+ "step": 5800
416
+ },
417
+ {
418
+ "epoch": 1.06,
419
+ "grad_norm": 1.0450036525726318,
420
+ "learning_rate": 9.365562451953278e-05,
421
+ "loss": 1.1217,
422
+ "step": 5900
423
+ },
424
+ {
425
+ "epoch": 1.08,
426
+ "grad_norm": 0.9196897745132446,
427
+ "learning_rate": 9.18531683124594e-05,
428
+ "loss": 1.1435,
429
+ "step": 6000
430
+ },
431
+ {
432
+ "epoch": 1.1,
433
+ "grad_norm": 1.241141676902771,
434
+ "learning_rate": 9.005071210538602e-05,
435
+ "loss": 1.1174,
436
+ "step": 6100
437
+ },
438
+ {
439
+ "epoch": 1.12,
440
+ "grad_norm": 0.8073747754096985,
441
+ "learning_rate": 8.826628046038338e-05,
442
+ "loss": 1.0501,
443
+ "step": 6200
444
+ },
445
+ {
446
+ "epoch": 1.14,
447
+ "grad_norm": 0.8413310647010803,
448
+ "learning_rate": 8.646382425331e-05,
449
+ "loss": 1.1023,
450
+ "step": 6300
451
+ },
452
+ {
453
+ "epoch": 1.15,
454
+ "grad_norm": 0.8178868889808655,
455
+ "learning_rate": 8.466136804623662e-05,
456
+ "loss": 1.0948,
457
+ "step": 6400
458
+ },
459
+ {
460
+ "epoch": 1.17,
461
+ "grad_norm": 0.9561821222305298,
462
+ "learning_rate": 8.285891183916323e-05,
463
+ "loss": 1.0936,
464
+ "step": 6500
465
+ },
466
+ {
467
+ "epoch": 1.19,
468
+ "grad_norm": 0.9246460199356079,
469
+ "learning_rate": 8.105645563208986e-05,
470
+ "loss": 1.0679,
471
+ "step": 6600
472
+ },
473
+ {
474
+ "epoch": 1.21,
475
+ "grad_norm": 0.9705007076263428,
476
+ "learning_rate": 7.925399942501648e-05,
477
+ "loss": 1.026,
478
+ "step": 6700
479
+ },
480
+ {
481
+ "epoch": 1.23,
482
+ "grad_norm": 0.9710861444473267,
483
+ "learning_rate": 7.74515432179431e-05,
484
+ "loss": 1.0543,
485
+ "step": 6800
486
+ },
487
+ {
488
+ "epoch": 1.24,
489
+ "grad_norm": 1.0675069093704224,
490
+ "learning_rate": 7.564908701086972e-05,
491
+ "loss": 1.0987,
492
+ "step": 6900
493
+ },
494
+ {
495
+ "epoch": 1.26,
496
+ "grad_norm": 0.8517453670501709,
497
+ "learning_rate": 7.384663080379635e-05,
498
+ "loss": 1.0693,
499
+ "step": 7000
500
+ },
501
+ {
502
+ "epoch": 1.28,
503
+ "grad_norm": 0.901584267616272,
504
+ "learning_rate": 7.204417459672296e-05,
505
+ "loss": 1.0685,
506
+ "step": 7100
507
+ },
508
+ {
509
+ "epoch": 1.3,
510
+ "grad_norm": 1.0663121938705444,
511
+ "learning_rate": 7.024171838964957e-05,
512
+ "loss": 1.0802,
513
+ "step": 7200
514
+ },
515
+ {
516
+ "epoch": 1.32,
517
+ "grad_norm": 1.0489306449890137,
518
+ "learning_rate": 6.84392621825762e-05,
519
+ "loss": 1.1116,
520
+ "step": 7300
521
+ },
522
+ {
523
+ "epoch": 1.33,
524
+ "grad_norm": 0.8096909523010254,
525
+ "learning_rate": 6.663680597550283e-05,
526
+ "loss": 1.0675,
527
+ "step": 7400
528
+ },
529
+ {
530
+ "epoch": 1.35,
531
+ "grad_norm": 1.0951379537582397,
532
+ "learning_rate": 6.483434976842945e-05,
533
+ "loss": 1.0631,
534
+ "step": 7500
535
+ },
536
+ {
537
+ "epoch": 1.37,
538
+ "grad_norm": 1.08359956741333,
539
+ "learning_rate": 6.303189356135607e-05,
540
+ "loss": 1.0522,
541
+ "step": 7600
542
+ },
543
+ {
544
+ "epoch": 1.39,
545
+ "grad_norm": 1.22184419631958,
546
+ "learning_rate": 6.122943735428269e-05,
547
+ "loss": 1.0878,
548
+ "step": 7700
549
+ },
550
+ {
551
+ "epoch": 1.41,
552
+ "grad_norm": 1.087251901626587,
553
+ "learning_rate": 5.9426981147209305e-05,
554
+ "loss": 1.0659,
555
+ "step": 7800
556
+ },
557
+ {
558
+ "epoch": 1.42,
559
+ "grad_norm": 1.020251750946045,
560
+ "learning_rate": 5.7624524940135925e-05,
561
+ "loss": 1.0668,
562
+ "step": 7900
563
+ },
564
+ {
565
+ "epoch": 1.44,
566
+ "grad_norm": 0.9591791033744812,
567
+ "learning_rate": 5.582206873306255e-05,
568
+ "loss": 1.0702,
569
+ "step": 8000
570
+ },
571
+ {
572
+ "epoch": 1.46,
573
+ "grad_norm": 1.0169813632965088,
574
+ "learning_rate": 5.401961252598917e-05,
575
+ "loss": 1.0375,
576
+ "step": 8100
577
+ },
578
+ {
579
+ "epoch": 1.48,
580
+ "grad_norm": 1.044224739074707,
581
+ "learning_rate": 5.22171563189158e-05,
582
+ "loss": 1.0777,
583
+ "step": 8200
584
+ },
585
+ {
586
+ "epoch": 1.5,
587
+ "grad_norm": 1.0525567531585693,
588
+ "learning_rate": 5.041470011184242e-05,
589
+ "loss": 0.9967,
590
+ "step": 8300
591
+ },
592
+ {
593
+ "epoch": 1.51,
594
+ "grad_norm": 0.9581038951873779,
595
+ "learning_rate": 4.861224390476904e-05,
596
+ "loss": 1.0595,
597
+ "step": 8400
598
+ },
599
+ {
600
+ "epoch": 1.53,
601
+ "grad_norm": 1.0464085340499878,
602
+ "learning_rate": 4.6809787697695656e-05,
603
+ "loss": 1.0423,
604
+ "step": 8500
605
+ },
606
+ {
607
+ "epoch": 1.55,
608
+ "grad_norm": 0.982803225517273,
609
+ "learning_rate": 4.5007331490622276e-05,
610
+ "loss": 1.0683,
611
+ "step": 8600
612
+ },
613
+ {
614
+ "epoch": 1.57,
615
+ "grad_norm": 1.1214386224746704,
616
+ "learning_rate": 4.3204875283548896e-05,
617
+ "loss": 1.0984,
618
+ "step": 8700
619
+ },
620
+ {
621
+ "epoch": 1.59,
622
+ "grad_norm": 1.0456256866455078,
623
+ "learning_rate": 4.1402419076475515e-05,
624
+ "loss": 1.0549,
625
+ "step": 8800
626
+ },
627
+ {
628
+ "epoch": 1.6,
629
+ "grad_norm": 1.0025187730789185,
630
+ "learning_rate": 3.959996286940214e-05,
631
+ "loss": 1.024,
632
+ "step": 8900
633
+ },
634
+ {
635
+ "epoch": 1.62,
636
+ "grad_norm": 1.2760844230651855,
637
+ "learning_rate": 3.7797506662328755e-05,
638
+ "loss": 1.0313,
639
+ "step": 9000
640
+ },
641
+ {
642
+ "epoch": 1.64,
643
+ "grad_norm": 0.9632763862609863,
644
+ "learning_rate": 3.599505045525538e-05,
645
+ "loss": 1.0263,
646
+ "step": 9100
647
+ },
648
+ {
649
+ "epoch": 1.66,
650
+ "grad_norm": 1.01961088180542,
651
+ "learning_rate": 3.4192594248182e-05,
652
+ "loss": 1.0503,
653
+ "step": 9200
654
+ },
655
+ {
656
+ "epoch": 1.68,
657
+ "grad_norm": 0.9579876065254211,
658
+ "learning_rate": 3.239013804110862e-05,
659
+ "loss": 1.03,
660
+ "step": 9300
661
+ },
662
+ {
663
+ "epoch": 1.69,
664
+ "grad_norm": 1.400282859802246,
665
+ "learning_rate": 3.058768183403524e-05,
666
+ "loss": 1.0481,
667
+ "step": 9400
668
+ },
669
+ {
670
+ "epoch": 1.71,
671
+ "grad_norm": 1.1665406227111816,
672
+ "learning_rate": 2.8785225626961863e-05,
673
+ "loss": 1.0585,
674
+ "step": 9500
675
+ },
676
+ {
677
+ "epoch": 1.73,
678
+ "grad_norm": 1.1331160068511963,
679
+ "learning_rate": 2.6982769419888486e-05,
680
+ "loss": 0.9992,
681
+ "step": 9600
682
+ },
683
+ {
684
+ "epoch": 1.75,
685
+ "grad_norm": 1.0598838329315186,
686
+ "learning_rate": 2.5180313212815106e-05,
687
+ "loss": 1.0663,
688
+ "step": 9700
689
+ },
690
+ {
691
+ "epoch": 1.77,
692
+ "grad_norm": 1.0826873779296875,
693
+ "learning_rate": 2.3377857005741726e-05,
694
+ "loss": 0.9844,
695
+ "step": 9800
696
+ },
697
+ {
698
+ "epoch": 1.78,
699
+ "grad_norm": 0.9529953002929688,
700
+ "learning_rate": 2.1575400798668345e-05,
701
+ "loss": 1.0349,
702
+ "step": 9900
703
+ },
704
+ {
705
+ "epoch": 1.8,
706
+ "grad_norm": 1.0949389934539795,
707
+ "learning_rate": 1.977294459159497e-05,
708
+ "loss": 1.0473,
709
+ "step": 10000
710
+ },
711
+ {
712
+ "epoch": 1.82,
713
+ "grad_norm": 1.0248372554779053,
714
+ "learning_rate": 1.7970488384521588e-05,
715
+ "loss": 1.0382,
716
+ "step": 10100
717
+ },
718
+ {
719
+ "epoch": 1.84,
720
+ "grad_norm": 0.9931679368019104,
721
+ "learning_rate": 1.616803217744821e-05,
722
+ "loss": 1.017,
723
+ "step": 10200
724
+ },
725
+ {
726
+ "epoch": 1.86,
727
+ "grad_norm": 0.9561355710029602,
728
+ "learning_rate": 1.436557597037483e-05,
729
+ "loss": 1.0577,
730
+ "step": 10300
731
+ },
732
+ {
733
+ "epoch": 1.87,
734
+ "grad_norm": 1.2075040340423584,
735
+ "learning_rate": 1.2563119763301454e-05,
736
+ "loss": 1.0493,
737
+ "step": 10400
738
+ },
739
+ {
740
+ "epoch": 1.89,
741
+ "grad_norm": 1.1561285257339478,
742
+ "learning_rate": 1.0760663556228073e-05,
743
+ "loss": 0.9947,
744
+ "step": 10500
745
+ }
746
+ ],
747
+ "logging_steps": 100,
748
+ "max_steps": 11096,
749
+ "num_input_tokens_seen": 0,
750
+ "num_train_epochs": 2,
751
+ "save_steps": 500,
752
+ "total_flos": 3.714097560675041e+17,
753
+ "train_batch_size": 1,
754
+ "trial_name": null,
755
+ "trial_params": null
756
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29aca760a61dcbe73bb67d5d61058070185a2b1ab3a47b8129db6a5b07e0e729
3
+ size 4856