DuongTrongChi commited on
Commit
062b79a
·
verified ·
1 Parent(s): 625be25

Training in progress, step 37, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: vilm/vinallama-2.7b-chat
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 0.11.1
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "vilm/vinallama-2.7b-chat",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": "unsloth",
22
+ "target_modules": [
23
+ "v_proj",
24
+ "gate_proj",
25
+ "o_proj",
26
+ "down_proj",
27
+ "up_proj",
28
+ "k_proj",
29
+ "q_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 sha256:5d3571473c0aed33bd766ec1ad5d5d5ce6a14fbe47f5828a2263b439098741a8
3
+ size 100198584
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:00c65c190438ee4c7419368d2a1c0d1d6c50e3bb86754a356f01b3122c9d1b7e
3
+ size 50675156
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96200d4ca8dc27a2feac013eb62dd34ec99b5598bcdd66554ba3bfa0cfc0128f
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de97437b38f26cb63c5902f654bb0eae88cdd4ca2deb27137894885d5a412014
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|im_end|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "46303": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "46304": {
39
+ "content": "<|im_end|>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ },
46
+ "46305": {
47
+ "content": "<|im_start|>",
48
+ "lstrip": false,
49
+ "normalized": false,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ }
54
+ },
55
+ "bos_token": "<s>",
56
+ "clean_up_tokenization_spaces": false,
57
+ "eos_token": "<|im_end|>",
58
+ "legacy": false,
59
+ "model_max_length": 4096,
60
+ "pad_token": "<pad>",
61
+ "padding_side": "right",
62
+ "sp_model_kwargs": {},
63
+ "tokenizer_class": "LlamaTokenizer",
64
+ "unk_token": "<unk>",
65
+ "use_default_system_prompt": true,
66
+ "use_fast": true
67
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,292 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.05405899004657109,
5
+ "eval_steps": 500,
6
+ "global_step": 37,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.001461053785042462,
13
+ "grad_norm": 0.30625924468040466,
14
+ "learning_rate": 2.0000000000000002e-07,
15
+ "loss": 2.1669,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.002922107570084924,
20
+ "grad_norm": 0.29808640480041504,
21
+ "learning_rate": 4.0000000000000003e-07,
22
+ "loss": 2.0395,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.004383161355127386,
27
+ "grad_norm": 0.24509362876415253,
28
+ "learning_rate": 6.000000000000001e-07,
29
+ "loss": 1.8973,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.005844215140169848,
34
+ "grad_norm": 0.27399635314941406,
35
+ "learning_rate": 8.000000000000001e-07,
36
+ "loss": 2.0403,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.00730526892521231,
41
+ "grad_norm": 0.30136558413505554,
42
+ "learning_rate": 1.0000000000000002e-06,
43
+ "loss": 2.0947,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.008766322710254772,
48
+ "grad_norm": 0.30337047576904297,
49
+ "learning_rate": 1.2000000000000002e-06,
50
+ "loss": 2.0886,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.010227376495297234,
55
+ "grad_norm": 0.28456181287765503,
56
+ "learning_rate": 1.4000000000000001e-06,
57
+ "loss": 1.988,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.011688430280339696,
62
+ "grad_norm": 0.2553723454475403,
63
+ "learning_rate": 1.6000000000000001e-06,
64
+ "loss": 2.0434,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.013149484065382157,
69
+ "grad_norm": 0.2616969645023346,
70
+ "learning_rate": 1.8000000000000001e-06,
71
+ "loss": 1.9692,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.01461053785042462,
76
+ "grad_norm": 0.2795903980731964,
77
+ "learning_rate": 2.0000000000000003e-06,
78
+ "loss": 1.9994,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.01607159163546708,
83
+ "grad_norm": 0.27633437514305115,
84
+ "learning_rate": 2.2e-06,
85
+ "loss": 1.9672,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.017532645420509543,
90
+ "grad_norm": 0.3074289858341217,
91
+ "learning_rate": 2.4000000000000003e-06,
92
+ "loss": 2.0757,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.018993699205552005,
97
+ "grad_norm": 0.27444779872894287,
98
+ "learning_rate": 2.6e-06,
99
+ "loss": 1.9697,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.020454752990594467,
104
+ "grad_norm": 0.28576454520225525,
105
+ "learning_rate": 2.8000000000000003e-06,
106
+ "loss": 2.0516,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.02191580677563693,
111
+ "grad_norm": 0.25402647256851196,
112
+ "learning_rate": 3e-06,
113
+ "loss": 1.9916,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.02337686056067939,
118
+ "grad_norm": 0.27070897817611694,
119
+ "learning_rate": 3.2000000000000003e-06,
120
+ "loss": 2.0079,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.024837914345721853,
125
+ "grad_norm": 0.26685598492622375,
126
+ "learning_rate": 3.4000000000000005e-06,
127
+ "loss": 1.997,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.026298968130764315,
132
+ "grad_norm": 0.2818976044654846,
133
+ "learning_rate": 3.6000000000000003e-06,
134
+ "loss": 2.0454,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.027760021915806777,
139
+ "grad_norm": 0.2832131087779999,
140
+ "learning_rate": 3.8000000000000005e-06,
141
+ "loss": 2.0227,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.02922107570084924,
146
+ "grad_norm": 0.28652554750442505,
147
+ "learning_rate": 4.000000000000001e-06,
148
+ "loss": 2.0293,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.0306821294858917,
153
+ "grad_norm": 0.28600171208381653,
154
+ "learning_rate": 4.2000000000000004e-06,
155
+ "loss": 2.0214,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.03214318327093416,
160
+ "grad_norm": 0.2540723383426666,
161
+ "learning_rate": 4.4e-06,
162
+ "loss": 1.998,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.03360423705597662,
167
+ "grad_norm": 0.2570485472679138,
168
+ "learning_rate": 4.600000000000001e-06,
169
+ "loss": 1.9908,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.03506529084101909,
174
+ "grad_norm": 0.2579878866672516,
175
+ "learning_rate": 4.800000000000001e-06,
176
+ "loss": 1.9355,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.036526344626061545,
181
+ "grad_norm": 0.29550811648368835,
182
+ "learning_rate": 5e-06,
183
+ "loss": 2.0992,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.03798739841110401,
188
+ "grad_norm": 0.2850530445575714,
189
+ "learning_rate": 5.2e-06,
190
+ "loss": 2.042,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.03944845219614647,
195
+ "grad_norm": 0.2779623568058014,
196
+ "learning_rate": 5.400000000000001e-06,
197
+ "loss": 1.9592,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.040909505981188934,
202
+ "grad_norm": 0.2843893766403198,
203
+ "learning_rate": 5.600000000000001e-06,
204
+ "loss": 2.0435,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.04237055976623139,
209
+ "grad_norm": 0.26713600754737854,
210
+ "learning_rate": 5.8e-06,
211
+ "loss": 2.0014,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.04383161355127386,
216
+ "grad_norm": 0.2971515357494354,
217
+ "learning_rate": 6e-06,
218
+ "loss": 2.0246,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.04529266733631632,
223
+ "grad_norm": 0.2626894414424896,
224
+ "learning_rate": 6.200000000000001e-06,
225
+ "loss": 2.0402,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.04675372112135878,
230
+ "grad_norm": 0.27606457471847534,
231
+ "learning_rate": 6.4000000000000006e-06,
232
+ "loss": 2.0549,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.04821477490640124,
237
+ "grad_norm": 0.27802756428718567,
238
+ "learning_rate": 6.600000000000001e-06,
239
+ "loss": 1.9889,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.049675828691443706,
244
+ "grad_norm": 0.2772068977355957,
245
+ "learning_rate": 6.800000000000001e-06,
246
+ "loss": 1.9913,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.051136882476486165,
251
+ "grad_norm": 0.2816425561904907,
252
+ "learning_rate": 7e-06,
253
+ "loss": 1.9677,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.05259793626152863,
258
+ "grad_norm": 0.2521456182003021,
259
+ "learning_rate": 7.2000000000000005e-06,
260
+ "loss": 1.9705,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.05405899004657109,
265
+ "grad_norm": 0.24795399606227875,
266
+ "learning_rate": 7.4e-06,
267
+ "loss": 2.0483,
268
+ "step": 37
269
+ }
270
+ ],
271
+ "logging_steps": 1,
272
+ "max_steps": 684,
273
+ "num_input_tokens_seen": 0,
274
+ "num_train_epochs": 1,
275
+ "save_steps": 1,
276
+ "stateful_callbacks": {
277
+ "TrainerControl": {
278
+ "args": {
279
+ "should_epoch_stop": false,
280
+ "should_evaluate": false,
281
+ "should_log": false,
282
+ "should_save": true,
283
+ "should_training_stop": false
284
+ },
285
+ "attributes": {}
286
+ }
287
+ },
288
+ "total_flos": 4.135765548880282e+16,
289
+ "train_batch_size": 4,
290
+ "trial_name": null,
291
+ "trial_params": null
292
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78c21f6f44e397e8bfa1e1dce328c83379737c41c1b32fac65701e24b3037dfb
3
+ size 5176