CreatorPhan commited on
Commit
522a318
1 Parent(s): 97f10e4

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -1,203 +1,6 @@
1
  ---
2
  library_name: peft
3
- base_model: bigscience/bloomz-3b
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
- - **Shared by [optional]:** [More Information Needed]
22
- - **Model type:** [More Information Needed]
23
- - **Language(s) (NLP):** [More Information Needed]
24
- - **License:** [More Information Needed]
25
- - **Finetuned from model [optional]:** [More Information Needed]
26
-
27
- ### Model Sources [optional]
28
-
29
- <!-- Provide the basic links for the model. -->
30
-
31
- - **Repository:** [More Information Needed]
32
- - **Paper [optional]:** [More Information Needed]
33
- - **Demo [optional]:** [More Information Needed]
34
-
35
- ## Uses
36
-
37
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
38
-
39
- ### Direct Use
40
-
41
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
42
-
43
- [More Information Needed]
44
-
45
- ### Downstream Use [optional]
46
-
47
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
48
-
49
- [More Information Needed]
50
-
51
- ### Out-of-Scope Use
52
-
53
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
54
-
55
- [More Information Needed]
56
-
57
- ## Bias, Risks, and Limitations
58
-
59
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
60
-
61
- [More Information Needed]
62
-
63
- ### Recommendations
64
-
65
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
66
-
67
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
68
-
69
- ## How to Get Started with the Model
70
-
71
- Use the code below to get started with the model.
72
-
73
- [More Information Needed]
74
-
75
- ## Training Details
76
-
77
- ### Training Data
78
-
79
- <!-- This should link to a Data 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. -->
80
-
81
- [More Information Needed]
82
-
83
- ### Training Procedure
84
-
85
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
86
-
87
- #### Preprocessing [optional]
88
-
89
- [More Information Needed]
90
-
91
-
92
- #### Training Hyperparameters
93
-
94
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
95
-
96
- #### Speeds, Sizes, Times [optional]
97
-
98
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
99
-
100
- [More Information Needed]
101
-
102
- ## Evaluation
103
-
104
- <!-- This section describes the evaluation protocols and provides the results. -->
105
-
106
- ### Testing Data, Factors & Metrics
107
-
108
- #### Testing Data
109
-
110
- <!-- This should link to a Data Card if possible. -->
111
-
112
- [More Information Needed]
113
-
114
- #### Factors
115
-
116
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
117
-
118
- [More Information Needed]
119
-
120
- #### Metrics
121
-
122
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
123
-
124
- [More Information Needed]
125
-
126
- ### Results
127
-
128
- [More Information Needed]
129
-
130
- #### Summary
131
-
132
-
133
-
134
- ## Model Examination [optional]
135
-
136
- <!-- Relevant interpretability work for the model goes here -->
137
-
138
- [More Information Needed]
139
-
140
- ## Environmental Impact
141
-
142
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
143
-
144
- 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).
145
-
146
- - **Hardware Type:** [More Information Needed]
147
- - **Hours used:** [More Information Needed]
148
- - **Cloud Provider:** [More Information Needed]
149
- - **Compute Region:** [More Information Needed]
150
- - **Carbon Emitted:** [More Information Needed]
151
-
152
- ## Technical Specifications [optional]
153
-
154
- ### Model Architecture and Objective
155
-
156
- [More Information Needed]
157
-
158
- ### Compute Infrastructure
159
-
160
- [More Information Needed]
161
-
162
- #### Hardware
163
-
164
- [More Information Needed]
165
-
166
- #### Software
167
-
168
- [More Information Needed]
169
-
170
- ## Citation [optional]
171
-
172
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
173
-
174
- **BibTeX:**
175
-
176
- [More Information Needed]
177
-
178
- **APA:**
179
-
180
- [More Information Needed]
181
-
182
- ## Glossary [optional]
183
-
184
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
185
-
186
- [More Information Needed]
187
-
188
- ## More Information [optional]
189
-
190
- [More Information Needed]
191
-
192
- ## Model Card Authors [optional]
193
-
194
- [More Information Needed]
195
-
196
- ## Model Card Contact
197
-
198
- [More Information Needed]
199
-
200
-
201
  ## Training procedure
202
 
203
 
@@ -212,26 +15,6 @@ The following `bitsandbytes` quantization config was used during training:
212
  - bnb_4bit_quant_type: fp4
213
  - bnb_4bit_use_double_quant: False
214
  - bnb_4bit_compute_dtype: float32
215
-
216
- ### Framework versions
217
-
218
-
219
- - PEFT 0.6.0.dev0
220
- ## Training procedure
221
-
222
-
223
- The following `bitsandbytes` quantization config was used during training:
224
- - quant_method: bitsandbytes
225
- - load_in_8bit: True
226
- - load_in_4bit: False
227
- - llm_int8_threshold: 6.0
228
- - llm_int8_skip_modules: None
229
- - llm_int8_enable_fp32_cpu_offload: False
230
- - llm_int8_has_fp16_weight: False
231
- - bnb_4bit_quant_type: fp4
232
- - bnb_4bit_use_double_quant: False
233
- - bnb_4bit_compute_dtype: float32
234
-
235
  ### Framework versions
236
 
237
 
 
1
  ---
2
  library_name: peft
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  ## Training procedure
5
 
6
 
 
15
  - bnb_4bit_quant_type: fp4
16
  - bnb_4bit_use_double_quant: False
17
  - bnb_4bit_compute_dtype: float32
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  ### Framework versions
19
 
20
 
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:635a32517555516a074d35a4febddda942c2ddc458fc2372821178194c557bdd
3
  size 39409357
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f054a50c1c97a69a96573ad64c2b580cacf6e043599b8e7a34409e206f02b3e6
3
  size 39409357
checkpoint-100/README.md ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - quant_method: bitsandbytes
9
+ - load_in_8bit: True
10
+ - load_in_4bit: False
11
+ - llm_int8_threshold: 6.0
12
+ - llm_int8_skip_modules: None
13
+ - llm_int8_enable_fp32_cpu_offload: False
14
+ - llm_int8_has_fp16_weight: False
15
+ - bnb_4bit_quant_type: fp4
16
+ - bnb_4bit_use_double_quant: False
17
+ - bnb_4bit_compute_dtype: float32
18
+
19
+ The following `bitsandbytes` quantization config was used during training:
20
+ - quant_method: bitsandbytes
21
+ - load_in_8bit: True
22
+ - load_in_4bit: False
23
+ - llm_int8_threshold: 6.0
24
+ - llm_int8_skip_modules: None
25
+ - llm_int8_enable_fp32_cpu_offload: False
26
+ - llm_int8_has_fp16_weight: False
27
+ - bnb_4bit_quant_type: fp4
28
+ - bnb_4bit_use_double_quant: False
29
+ - bnb_4bit_compute_dtype: float32
30
+ ### Framework versions
31
+
32
+ - PEFT 0.6.0.dev0
33
+
34
+ - PEFT 0.6.0.dev0
checkpoint-100/adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "bigscience/bloomz-3b",
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
+ "lora_alpha": 16,
12
+ "lora_dropout": 0.0,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 8,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "dense_4h_to_h",
20
+ "dense",
21
+ "dense_h_to_4h",
22
+ "query_key_value"
23
+ ],
24
+ "task_type": "CAUSAL_LM"
25
+ }
checkpoint-100/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e10ec585cc785ec6c1ba52b342ed481e0c422b9ac31d8e20a8a23da9b83db472
3
+ size 39409357
checkpoint-100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa455e33c4a5d31afb7a6b507415d81b58428f2df2ae11cfc9a5c88741af4575
3
+ size 78844421
checkpoint-100/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc401e4179bc1e7efa275a89930a0253550e2251df7c7fb11bdb457cda3e88aa
3
+ size 14575
checkpoint-100/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3c6698901762d2f6230a1becbf5ebc118ea9c781a5ef978d76e0b649f4f5e37
3
+ size 627
checkpoint-100/special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "<pad>",
5
+ "unk_token": "<unk>"
6
+ }
checkpoint-100/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53ce6854fc6999d08263f5e9798fcb703d90709f440b22fdbff43e1369ead734
3
+ size 14500569
checkpoint-100/tokenizer_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "bos_token": "<s>",
4
+ "clean_up_tokenization_spaces": false,
5
+ "eos_token": "</s>",
6
+ "model_max_length": 1000000000000000019884624838656,
7
+ "pad_token": "<pad>",
8
+ "tokenizer_class": "BloomTokenizer",
9
+ "unk_token": "<unk>"
10
+ }
checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,619 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 32.0,
5
+ "eval_steps": 500,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.32,
13
+ "learning_rate": 0.00019895833333333332,
14
+ "loss": 2.436,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.64,
19
+ "learning_rate": 0.0001979166666666667,
20
+ "loss": 2.134,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.96,
25
+ "learning_rate": 0.000196875,
26
+ "loss": 1.8754,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 1.28,
31
+ "learning_rate": 0.00019583333333333334,
32
+ "loss": 1.7027,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 1.6,
37
+ "learning_rate": 0.00019479166666666668,
38
+ "loss": 1.5335,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 1.92,
43
+ "learning_rate": 0.00019375000000000002,
44
+ "loss": 1.4574,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 2.24,
49
+ "learning_rate": 0.00019270833333333333,
50
+ "loss": 1.3616,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 2.56,
55
+ "learning_rate": 0.00019166666666666667,
56
+ "loss": 1.2486,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 2.88,
61
+ "learning_rate": 0.000190625,
62
+ "loss": 1.2004,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 3.2,
67
+ "learning_rate": 0.00018958333333333332,
68
+ "loss": 1.1875,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 3.52,
73
+ "learning_rate": 0.0001885416666666667,
74
+ "loss": 1.146,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 3.84,
79
+ "learning_rate": 0.0001875,
80
+ "loss": 1.1426,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 4.16,
85
+ "learning_rate": 0.00018645833333333334,
86
+ "loss": 1.081,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 4.48,
91
+ "learning_rate": 0.00018541666666666668,
92
+ "loss": 1.0904,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 4.8,
97
+ "learning_rate": 0.000184375,
98
+ "loss": 1.0793,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 5.12,
103
+ "learning_rate": 0.00018333333333333334,
104
+ "loss": 1.0554,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 5.44,
109
+ "learning_rate": 0.00018229166666666667,
110
+ "loss": 1.0499,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 5.76,
115
+ "learning_rate": 0.00018125000000000001,
116
+ "loss": 1.0378,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 6.08,
121
+ "learning_rate": 0.00018020833333333333,
122
+ "loss": 1.0245,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 6.4,
127
+ "learning_rate": 0.0001791666666666667,
128
+ "loss": 1.0436,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 6.72,
133
+ "learning_rate": 0.000178125,
134
+ "loss": 0.9766,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 7.04,
139
+ "learning_rate": 0.00017708333333333335,
140
+ "loss": 0.9664,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 7.36,
145
+ "learning_rate": 0.00017604166666666669,
146
+ "loss": 0.9977,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 7.68,
151
+ "learning_rate": 0.000175,
152
+ "loss": 0.9671,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 8.0,
157
+ "learning_rate": 0.00017395833333333334,
158
+ "loss": 0.9229,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 8.32,
163
+ "learning_rate": 0.00017291666666666668,
164
+ "loss": 0.957,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 8.64,
169
+ "learning_rate": 0.00017187500000000002,
170
+ "loss": 0.9213,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 8.96,
175
+ "learning_rate": 0.00017083333333333333,
176
+ "loss": 0.9147,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 9.28,
181
+ "learning_rate": 0.00016979166666666667,
182
+ "loss": 0.8976,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 9.6,
187
+ "learning_rate": 0.00016875,
188
+ "loss": 0.8961,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 9.92,
193
+ "learning_rate": 0.00016770833333333332,
194
+ "loss": 0.8934,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 10.24,
199
+ "learning_rate": 0.0001666666666666667,
200
+ "loss": 0.865,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 10.56,
205
+ "learning_rate": 0.000165625,
206
+ "loss": 0.8952,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 10.88,
211
+ "learning_rate": 0.00016458333333333334,
212
+ "loss": 0.832,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 11.2,
217
+ "learning_rate": 0.00016354166666666668,
218
+ "loss": 0.8241,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 11.52,
223
+ "learning_rate": 0.00016250000000000002,
224
+ "loss": 0.834,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 11.84,
229
+ "learning_rate": 0.00016145833333333333,
230
+ "loss": 0.8305,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 12.16,
235
+ "learning_rate": 0.00016041666666666667,
236
+ "loss": 0.7752,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 12.48,
241
+ "learning_rate": 0.000159375,
242
+ "loss": 0.8084,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 12.8,
247
+ "learning_rate": 0.00015833333333333332,
248
+ "loss": 0.7757,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 13.12,
253
+ "learning_rate": 0.0001572916666666667,
254
+ "loss": 0.7724,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 13.44,
259
+ "learning_rate": 0.00015625,
260
+ "loss": 0.7478,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 13.76,
265
+ "learning_rate": 0.00015520833333333334,
266
+ "loss": 0.7291,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 14.08,
271
+ "learning_rate": 0.00015416666666666668,
272
+ "loss": 0.7444,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 14.4,
277
+ "learning_rate": 0.000153125,
278
+ "loss": 0.732,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 14.72,
283
+ "learning_rate": 0.00015208333333333333,
284
+ "loss": 0.6892,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 15.04,
289
+ "learning_rate": 0.00015104166666666667,
290
+ "loss": 0.6804,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 15.36,
295
+ "learning_rate": 0.00015000000000000001,
296
+ "loss": 0.668,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 15.68,
301
+ "learning_rate": 0.00014895833333333333,
302
+ "loss": 0.6568,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 16.0,
307
+ "learning_rate": 0.0001479166666666667,
308
+ "loss": 0.6475,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 16.32,
313
+ "learning_rate": 0.000146875,
314
+ "loss": 0.6317,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 16.64,
319
+ "learning_rate": 0.00014583333333333335,
320
+ "loss": 0.5976,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 16.96,
325
+ "learning_rate": 0.00014479166666666669,
326
+ "loss": 0.6074,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 17.28,
331
+ "learning_rate": 0.00014375,
332
+ "loss": 0.5905,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 17.6,
337
+ "learning_rate": 0.00014270833333333334,
338
+ "loss": 0.5564,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 17.92,
343
+ "learning_rate": 0.00014166666666666668,
344
+ "loss": 0.5773,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 18.24,
349
+ "learning_rate": 0.00014062500000000002,
350
+ "loss": 0.5337,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 18.56,
355
+ "learning_rate": 0.00013958333333333333,
356
+ "loss": 0.5227,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 18.88,
361
+ "learning_rate": 0.00013854166666666667,
362
+ "loss": 0.5251,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 19.2,
367
+ "learning_rate": 0.0001375,
368
+ "loss": 0.503,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 19.52,
373
+ "learning_rate": 0.00013645833333333332,
374
+ "loss": 0.486,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 19.84,
379
+ "learning_rate": 0.0001354166666666667,
380
+ "loss": 0.4632,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 20.16,
385
+ "learning_rate": 0.000134375,
386
+ "loss": 0.4734,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 20.48,
391
+ "learning_rate": 0.00013333333333333334,
392
+ "loss": 0.4212,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 20.8,
397
+ "learning_rate": 0.00013229166666666668,
398
+ "loss": 0.4255,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 21.12,
403
+ "learning_rate": 0.00013125000000000002,
404
+ "loss": 0.4231,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 21.44,
409
+ "learning_rate": 0.00013020833333333333,
410
+ "loss": 0.392,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 21.76,
415
+ "learning_rate": 0.00012916666666666667,
416
+ "loss": 0.3924,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 22.08,
421
+ "learning_rate": 0.000128125,
422
+ "loss": 0.3787,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 22.4,
427
+ "learning_rate": 0.00012708333333333332,
428
+ "loss": 0.3562,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 22.72,
433
+ "learning_rate": 0.0001260416666666667,
434
+ "loss": 0.3474,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 23.04,
439
+ "learning_rate": 0.000125,
440
+ "loss": 0.338,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 23.36,
445
+ "learning_rate": 0.00012395833333333334,
446
+ "loss": 0.326,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 23.68,
451
+ "learning_rate": 0.00012291666666666668,
452
+ "loss": 0.3049,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 24.0,
457
+ "learning_rate": 0.00012187500000000001,
458
+ "loss": 0.3032,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 24.32,
463
+ "learning_rate": 0.00012083333333333333,
464
+ "loss": 0.2957,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 24.64,
469
+ "learning_rate": 0.00011979166666666667,
470
+ "loss": 0.2771,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 24.96,
475
+ "learning_rate": 0.00011875,
476
+ "loss": 0.2706,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 25.28,
481
+ "learning_rate": 0.00011770833333333333,
482
+ "loss": 0.2611,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 25.6,
487
+ "learning_rate": 0.00011666666666666668,
488
+ "loss": 0.2515,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 25.92,
493
+ "learning_rate": 0.000115625,
494
+ "loss": 0.2353,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 26.24,
499
+ "learning_rate": 0.00011458333333333333,
500
+ "loss": 0.2323,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 26.56,
505
+ "learning_rate": 0.00011354166666666668,
506
+ "loss": 0.2394,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 26.88,
511
+ "learning_rate": 0.00011250000000000001,
512
+ "loss": 0.2154,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 27.2,
517
+ "learning_rate": 0.00011145833333333334,
518
+ "loss": 0.2045,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 27.52,
523
+ "learning_rate": 0.00011041666666666668,
524
+ "loss": 0.2133,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 27.84,
529
+ "learning_rate": 0.000109375,
530
+ "loss": 0.1995,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 28.16,
535
+ "learning_rate": 0.00010833333333333333,
536
+ "loss": 0.1938,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 28.48,
541
+ "learning_rate": 0.00010729166666666668,
542
+ "loss": 0.1881,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 28.8,
547
+ "learning_rate": 0.00010625000000000001,
548
+ "loss": 0.1814,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 29.12,
553
+ "learning_rate": 0.00010520833333333333,
554
+ "loss": 0.1707,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 29.44,
559
+ "learning_rate": 0.00010416666666666667,
560
+ "loss": 0.1716,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 29.76,
565
+ "learning_rate": 0.000103125,
566
+ "loss": 0.1706,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 30.08,
571
+ "learning_rate": 0.00010208333333333333,
572
+ "loss": 0.1685,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 30.4,
577
+ "learning_rate": 0.00010104166666666668,
578
+ "loss": 0.1621,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 30.72,
583
+ "learning_rate": 0.0001,
584
+ "loss": 0.1548,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 31.04,
589
+ "learning_rate": 9.895833333333334e-05,
590
+ "loss": 0.1525,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 31.36,
595
+ "learning_rate": 9.791666666666667e-05,
596
+ "loss": 0.1488,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 31.68,
601
+ "learning_rate": 9.687500000000001e-05,
602
+ "loss": 0.1423,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 32.0,
607
+ "learning_rate": 9.583333333333334e-05,
608
+ "loss": 0.1452,
609
+ "step": 100
610
+ }
611
+ ],
612
+ "logging_steps": 1,
613
+ "max_steps": 192,
614
+ "num_train_epochs": 64,
615
+ "save_steps": 100,
616
+ "total_flos": 2.4750253661952e+16,
617
+ "trial_name": null,
618
+ "trial_params": null
619
+ }
checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18fa67295c2f705605ed2e7ff81543bd20a36db35f54e417d9b1ea047663c02f
3
+ size 4027
tokenizer.json CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:17a208233d2ee8d8c83b23bc214df737c44806a1919f444e89b31e586cd956ba
3
- size 14500471
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53ce6854fc6999d08263f5e9798fcb703d90709f440b22fdbff43e1369ead734
3
+ size 14500569
tokenizer_config.json CHANGED
@@ -1,40 +1,5 @@
1
  {
2
  "add_prefix_space": false,
3
- "added_tokens_decoder": {
4
- "0": {
5
- "content": "<unk>",
6
- "lstrip": false,
7
- "normalized": false,
8
- "rstrip": false,
9
- "single_word": false,
10
- "special": true
11
- },
12
- "1": {
13
- "content": "<s>",
14
- "lstrip": false,
15
- "normalized": false,
16
- "rstrip": false,
17
- "single_word": false,
18
- "special": true
19
- },
20
- "2": {
21
- "content": "</s>",
22
- "lstrip": false,
23
- "normalized": false,
24
- "rstrip": false,
25
- "single_word": false,
26
- "special": true
27
- },
28
- "3": {
29
- "content": "<pad>",
30
- "lstrip": false,
31
- "normalized": false,
32
- "rstrip": false,
33
- "single_word": false,
34
- "special": true
35
- }
36
- },
37
- "additional_special_tokens": [],
38
  "bos_token": "<s>",
39
  "clean_up_tokenization_spaces": false,
40
  "eos_token": "</s>",
 
1
  {
2
  "add_prefix_space": false,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  "bos_token": "<s>",
4
  "clean_up_tokenization_spaces": false,
5
  "eos_token": "</s>",
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4d33573a9dc540e140db3b9b52f3b15b7088eef81805a9d9a3444136d75abde7
3
  size 4027
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18fa67295c2f705605ed2e7ff81543bd20a36db35f54e417d9b1ea047663c02f
3
  size 4027