Model save
Browse files- README.md +2 -2
- all_results.json +6 -6
- model.safetensors +1 -1
- train_results.json +6 -6
- trainer_state.json +130 -130
- training_args.bin +2 -2
README.md
CHANGED
@@ -27,7 +27,7 @@ print(output["generated_text"])
|
|
27 |
|
28 |
## Training procedure
|
29 |
|
30 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/myronorg/huggingface/runs/
|
31 |
|
32 |
|
33 |
This model was trained with SFT.
|
@@ -36,7 +36,7 @@ This model was trained with SFT.
|
|
36 |
|
37 |
- TRL: 0.15.0.dev0
|
38 |
- Transformers: 4.49.0.dev0
|
39 |
-
- Pytorch: 2.5.1
|
40 |
- Datasets: 3.2.0
|
41 |
- Tokenizers: 0.21.0
|
42 |
|
|
|
27 |
|
28 |
## Training procedure
|
29 |
|
30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/myronorg/huggingface/runs/omfw97f8)
|
31 |
|
32 |
|
33 |
This model was trained with SFT.
|
|
|
36 |
|
37 |
- TRL: 0.15.0.dev0
|
38 |
- Transformers: 4.49.0.dev0
|
39 |
+
- Pytorch: 2.5.1
|
40 |
- Datasets: 3.2.0
|
41 |
- Tokenizers: 0.21.0
|
42 |
|
all_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 16610,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 0.9948186528497409,
|
3 |
+
"total_flos": 76517996494848.0,
|
4 |
+
"train_loss": 0.8023917121546609,
|
5 |
+
"train_runtime": 1111.3885,
|
6 |
"train_samples": 16610,
|
7 |
+
"train_samples_per_second": 19.444,
|
8 |
+
"train_steps_per_second": 0.151
|
9 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3087467144
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e45c9331ae85fc04b1df2a41a9aa2a752fb463e7a58932c68e5cc4e2d9c19407
|
3 |
size 3087467144
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 16610,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 0.9948186528497409,
|
3 |
+
"total_flos": 76517996494848.0,
|
4 |
+
"train_loss": 0.8023917121546609,
|
5 |
+
"train_runtime": 1111.3885,
|
6 |
"train_samples": 16610,
|
7 |
+
"train_samples_per_second": 19.444,
|
8 |
+
"train_steps_per_second": 0.151
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,264 +1,264 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
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.
|
13 |
-
"grad_norm": 2.
|
14 |
"learning_rate": 5.882352941176471e-06,
|
15 |
-
"loss": 1.
|
16 |
"step": 5
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm": 1.
|
21 |
"learning_rate": 1.1764705882352942e-05,
|
22 |
"loss": 1.0402,
|
23 |
"step": 10
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm": 0.
|
28 |
"learning_rate": 1.7647058823529414e-05,
|
29 |
"loss": 0.9533,
|
30 |
"step": 15
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm": 0.
|
35 |
-
"learning_rate": 1.
|
36 |
"loss": 0.8922,
|
37 |
"step": 20
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"grad_norm": 0.
|
42 |
-
"learning_rate": 1.
|
43 |
"loss": 0.8551,
|
44 |
"step": 25
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"grad_norm": 0.
|
49 |
-
"learning_rate": 1.
|
50 |
-
"loss": 0.
|
51 |
"step": 30
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"grad_norm": 0.
|
56 |
-
"learning_rate": 1.
|
57 |
"loss": 0.8229,
|
58 |
"step": 35
|
59 |
},
|
60 |
{
|
61 |
-
"epoch": 0.
|
62 |
-
"grad_norm": 0.
|
63 |
-
"learning_rate": 1.
|
64 |
"loss": 0.8225,
|
65 |
"step": 40
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"grad_norm": 0.
|
70 |
-
"learning_rate": 1.
|
71 |
"loss": 0.8073,
|
72 |
"step": 45
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 0.
|
76 |
-
"grad_norm": 0.
|
77 |
-
"learning_rate": 1.
|
78 |
"loss": 0.7977,
|
79 |
"step": 50
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0.
|
83 |
-
"grad_norm": 0.
|
84 |
-
"learning_rate": 1.
|
85 |
"loss": 0.7877,
|
86 |
"step": 55
|
87 |
},
|
88 |
{
|
89 |
-
"epoch": 0.
|
90 |
-
"grad_norm": 0.
|
91 |
-
"learning_rate": 1.
|
92 |
-
"loss": 0.
|
93 |
"step": 60
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"grad_norm": 0.
|
98 |
-
"learning_rate": 1.
|
99 |
"loss": 0.7722,
|
100 |
"step": 65
|
101 |
},
|
102 |
{
|
103 |
-
"epoch": 0.
|
104 |
-
"grad_norm": 0.
|
105 |
-
"learning_rate": 1.
|
106 |
"loss": 0.7741,
|
107 |
"step": 70
|
108 |
},
|
109 |
{
|
110 |
-
"epoch": 0.
|
111 |
-
"grad_norm": 0.
|
112 |
-
"learning_rate": 1.
|
113 |
"loss": 0.7852,
|
114 |
"step": 75
|
115 |
},
|
116 |
{
|
117 |
-
"epoch": 0.
|
118 |
-
"grad_norm": 0.
|
119 |
-
"learning_rate": 1.
|
120 |
"loss": 0.7667,
|
121 |
"step": 80
|
122 |
},
|
123 |
{
|
124 |
-
"epoch": 0.
|
125 |
-
"grad_norm": 0.
|
126 |
-
"learning_rate": 1.
|
127 |
-
"loss": 0.
|
128 |
"step": 85
|
129 |
},
|
130 |
{
|
131 |
-
"epoch": 0.
|
132 |
-
"grad_norm": 0.
|
133 |
-
"learning_rate": 1.
|
134 |
"loss": 0.7701,
|
135 |
"step": 90
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"grad_norm": 0.
|
140 |
-
"learning_rate": 9.
|
141 |
"loss": 0.7772,
|
142 |
"step": 95
|
143 |
},
|
144 |
{
|
145 |
-
"epoch": 0.
|
146 |
-
"grad_norm": 0.
|
147 |
-
"learning_rate": 8.
|
148 |
-
"loss": 0.
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 0.
|
153 |
-
"eval_loss": 0.
|
154 |
-
"eval_runtime": 1.
|
155 |
-
"eval_samples_per_second":
|
156 |
-
"eval_steps_per_second": 2.
|
157 |
"step": 100
|
158 |
},
|
159 |
{
|
160 |
-
"epoch": 0.
|
161 |
-
"grad_norm": 0.
|
162 |
-
"learning_rate": 7.
|
163 |
-
"loss": 0.
|
164 |
"step": 105
|
165 |
},
|
166 |
{
|
167 |
-
"epoch": 0.
|
168 |
-
"grad_norm": 0.
|
169 |
-
"learning_rate": 6.
|
170 |
"loss": 0.7682,
|
171 |
"step": 110
|
172 |
},
|
173 |
{
|
174 |
-
"epoch": 0.
|
175 |
-
"grad_norm": 0.
|
176 |
-
"learning_rate": 5.
|
177 |
-
"loss": 0.
|
178 |
"step": 115
|
179 |
},
|
180 |
{
|
181 |
-
"epoch": 0.
|
182 |
-
"grad_norm": 0.
|
183 |
-
"learning_rate": 4.
|
184 |
-
"loss": 0.
|
185 |
"step": 120
|
186 |
},
|
187 |
{
|
188 |
-
"epoch": 0.
|
189 |
-
"grad_norm": 0.
|
190 |
-
"learning_rate": 3.
|
191 |
-
"loss": 0.
|
192 |
"step": 125
|
193 |
},
|
194 |
{
|
195 |
-
"epoch": 0.
|
196 |
-
"grad_norm": 0.
|
197 |
-
"learning_rate":
|
198 |
-
"loss": 0.
|
199 |
"step": 130
|
200 |
},
|
201 |
{
|
202 |
-
"epoch": 0.
|
203 |
-
"grad_norm": 0.
|
204 |
-
"learning_rate": 2.
|
205 |
-
"loss": 0.
|
206 |
"step": 135
|
207 |
},
|
208 |
{
|
209 |
-
"epoch": 0.
|
210 |
-
"grad_norm": 0.
|
211 |
-
"learning_rate": 1.
|
212 |
-
"loss": 0.
|
213 |
"step": 140
|
214 |
},
|
215 |
{
|
216 |
-
"epoch": 0.
|
217 |
-
"grad_norm": 0.
|
218 |
-
"learning_rate": 1.
|
219 |
-
"loss": 0.
|
220 |
"step": 145
|
221 |
},
|
222 |
{
|
223 |
-
"epoch": 0.
|
224 |
-
"grad_norm": 0.
|
225 |
-
"learning_rate":
|
226 |
-
"loss": 0.
|
227 |
"step": 150
|
228 |
},
|
229 |
{
|
230 |
-
"epoch": 0.
|
231 |
-
"grad_norm": 0.
|
232 |
-
"learning_rate":
|
233 |
-
"loss": 0.
|
234 |
"step": 155
|
235 |
},
|
236 |
{
|
237 |
-
"epoch": 0.
|
238 |
-
"grad_norm": 0.
|
239 |
-
"learning_rate": 1.
|
240 |
-
"loss": 0.
|
241 |
"step": 160
|
242 |
},
|
243 |
{
|
244 |
-
"epoch": 0.
|
245 |
-
"grad_norm": 0.
|
246 |
-
"learning_rate":
|
247 |
-
"loss": 0.
|
248 |
"step": 165
|
249 |
},
|
250 |
{
|
251 |
-
"epoch":
|
252 |
-
"step":
|
253 |
-
"total_flos":
|
254 |
-
"train_loss": 0.
|
255 |
-
"train_runtime":
|
256 |
-
"train_samples_per_second":
|
257 |
-
"train_steps_per_second": 0.
|
258 |
}
|
259 |
],
|
260 |
"logging_steps": 5,
|
261 |
-
"max_steps":
|
262 |
"num_input_tokens_seen": 0,
|
263 |
"num_train_epochs": 1,
|
264 |
"save_steps": 500,
|
@@ -274,8 +274,8 @@
|
|
274 |
"attributes": {}
|
275 |
}
|
276 |
},
|
277 |
-
"total_flos":
|
278 |
-
"train_batch_size":
|
279 |
"trial_name": null,
|
280 |
"trial_params": null
|
281 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9948186528497409,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 168,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.029607698001480384,
|
13 |
+
"grad_norm": 2.3427891450842355,
|
14 |
"learning_rate": 5.882352941176471e-06,
|
15 |
+
"loss": 1.0993,
|
16 |
"step": 5
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.05921539600296077,
|
20 |
+
"grad_norm": 1.638241993747605,
|
21 |
"learning_rate": 1.1764705882352942e-05,
|
22 |
"loss": 1.0402,
|
23 |
"step": 10
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.08882309400444116,
|
27 |
+
"grad_norm": 0.8970481588482149,
|
28 |
"learning_rate": 1.7647058823529414e-05,
|
29 |
"loss": 0.9533,
|
30 |
"step": 15
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.11843079200592153,
|
34 |
+
"grad_norm": 0.6126224631372397,
|
35 |
+
"learning_rate": 1.9980527694749952e-05,
|
36 |
"loss": 0.8922,
|
37 |
"step": 20
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 0.14803849000740193,
|
41 |
+
"grad_norm": 0.5491637741037821,
|
42 |
+
"learning_rate": 1.986180478852149e-05,
|
43 |
"loss": 0.8551,
|
44 |
"step": 25
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.17764618800888232,
|
48 |
+
"grad_norm": 0.4357332212949219,
|
49 |
+
"learning_rate": 1.963645895935632e-05,
|
50 |
+
"loss": 0.8282,
|
51 |
"step": 30
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.20725388601036268,
|
55 |
+
"grad_norm": 0.3870290405518921,
|
56 |
+
"learning_rate": 1.930692657985482e-05,
|
57 |
"loss": 0.8229,
|
58 |
"step": 35
|
59 |
},
|
60 |
{
|
61 |
+
"epoch": 0.23686158401184307,
|
62 |
+
"grad_norm": 0.41071978450812635,
|
63 |
+
"learning_rate": 1.887677045685188e-05,
|
64 |
"loss": 0.8225,
|
65 |
"step": 40
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 0.2664692820133235,
|
69 |
+
"grad_norm": 0.35511835037971484,
|
70 |
+
"learning_rate": 1.8350641311400813e-05,
|
71 |
"loss": 0.8073,
|
72 |
"step": 45
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 0.29607698001480387,
|
76 |
+
"grad_norm": 0.34562914008715157,
|
77 |
+
"learning_rate": 1.773422749654988e-05,
|
78 |
"loss": 0.7977,
|
79 |
"step": 50
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 0.32568467801628426,
|
83 |
+
"grad_norm": 0.38429745030506335,
|
84 |
+
"learning_rate": 1.7034193496547903e-05,
|
85 |
"loss": 0.7877,
|
86 |
"step": 55
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 0.35529237601776464,
|
90 |
+
"grad_norm": 0.38450100811350485,
|
91 |
+
"learning_rate": 1.6258107872407376e-05,
|
92 |
+
"loss": 0.7982,
|
93 |
"step": 60
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.38490007401924503,
|
97 |
+
"grad_norm": 0.3508167601846127,
|
98 |
+
"learning_rate": 1.5414361432856475e-05,
|
99 |
"loss": 0.7722,
|
100 |
"step": 65
|
101 |
},
|
102 |
{
|
103 |
+
"epoch": 0.41450777202072536,
|
104 |
+
"grad_norm": 0.354273236485806,
|
105 |
+
"learning_rate": 1.4512076515391375e-05,
|
106 |
"loss": 0.7741,
|
107 |
"step": 70
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 0.44411547002220575,
|
111 |
+
"grad_norm": 0.3435732479373877,
|
112 |
+
"learning_rate": 1.356100835825547e-05,
|
113 |
"loss": 0.7852,
|
114 |
"step": 75
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 0.47372316802368614,
|
118 |
+
"grad_norm": 0.3554552572459275,
|
119 |
+
"learning_rate": 1.257143962968246e-05,
|
120 |
"loss": 0.7667,
|
121 |
"step": 80
|
122 |
},
|
123 |
{
|
124 |
+
"epoch": 0.5033308660251665,
|
125 |
+
"grad_norm": 0.37807154489345807,
|
126 |
+
"learning_rate": 1.155406925472205e-05,
|
127 |
+
"loss": 0.7707,
|
128 |
"step": 85
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 0.532938564026647,
|
132 |
+
"grad_norm": 0.3667445569072502,
|
133 |
+
"learning_rate": 1.0519896741619803e-05,
|
134 |
"loss": 0.7701,
|
135 |
"step": 90
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.5625462620281273,
|
139 |
+
"grad_norm": 0.3813236840767762,
|
140 |
+
"learning_rate": 9.480103258380198e-06,
|
141 |
"loss": 0.7772,
|
142 |
"step": 95
|
143 |
},
|
144 |
{
|
145 |
+
"epoch": 0.5921539600296077,
|
146 |
+
"grad_norm": 0.34559010442801097,
|
147 |
+
"learning_rate": 8.445930745277953e-06,
|
148 |
+
"loss": 0.7531,
|
149 |
"step": 100
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 0.5921539600296077,
|
153 |
+
"eval_loss": 0.7882063388824463,
|
154 |
+
"eval_runtime": 1.6572,
|
155 |
+
"eval_samples_per_second": 77.237,
|
156 |
+
"eval_steps_per_second": 2.414,
|
157 |
"step": 100
|
158 |
},
|
159 |
{
|
160 |
+
"epoch": 0.6217616580310881,
|
161 |
+
"grad_norm": 0.341364069372392,
|
162 |
+
"learning_rate": 7.428560370317542e-06,
|
163 |
+
"loss": 0.7571,
|
164 |
"step": 105
|
165 |
},
|
166 |
{
|
167 |
+
"epoch": 0.6513693560325685,
|
168 |
+
"grad_norm": 0.3559969343392935,
|
169 |
+
"learning_rate": 6.438991641744531e-06,
|
170 |
"loss": 0.7682,
|
171 |
"step": 110
|
172 |
},
|
173 |
{
|
174 |
+
"epoch": 0.6809770540340488,
|
175 |
+
"grad_norm": 0.3161514819141605,
|
176 |
+
"learning_rate": 5.487923484608629e-06,
|
177 |
+
"loss": 0.7625,
|
178 |
"step": 115
|
179 |
},
|
180 |
{
|
181 |
+
"epoch": 0.7105847520355293,
|
182 |
+
"grad_norm": 0.30339451601959244,
|
183 |
+
"learning_rate": 4.5856385671435285e-06,
|
184 |
+
"loss": 0.7515,
|
185 |
"step": 120
|
186 |
},
|
187 |
{
|
188 |
+
"epoch": 0.7401924500370096,
|
189 |
+
"grad_norm": 0.35261640845743664,
|
190 |
+
"learning_rate": 3.7418921275926245e-06,
|
191 |
+
"loss": 0.7539,
|
192 |
"step": 125
|
193 |
},
|
194 |
{
|
195 |
+
"epoch": 0.7698001480384901,
|
196 |
+
"grad_norm": 0.3193239804674359,
|
197 |
+
"learning_rate": 2.965806503452098e-06,
|
198 |
+
"loss": 0.7556,
|
199 |
"step": 130
|
200 |
},
|
201 |
{
|
202 |
+
"epoch": 0.7994078460399704,
|
203 |
+
"grad_norm": 0.32912058451560244,
|
204 |
+
"learning_rate": 2.265772503450122e-06,
|
205 |
+
"loss": 0.7586,
|
206 |
"step": 135
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 0.8290155440414507,
|
210 |
+
"grad_norm": 0.303685802235117,
|
211 |
+
"learning_rate": 1.6493586885991908e-06,
|
212 |
+
"loss": 0.75,
|
213 |
"step": 140
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 0.8586232420429312,
|
217 |
+
"grad_norm": 0.3173990670917867,
|
218 |
+
"learning_rate": 1.1232295431481222e-06,
|
219 |
+
"loss": 0.7568,
|
220 |
"step": 145
|
221 |
},
|
222 |
{
|
223 |
+
"epoch": 0.8882309400444115,
|
224 |
+
"grad_norm": 0.3010954114203951,
|
225 |
+
"learning_rate": 6.930734201451817e-07,
|
226 |
+
"loss": 0.7668,
|
227 |
"step": 150
|
228 |
},
|
229 |
{
|
230 |
+
"epoch": 0.9178386380458919,
|
231 |
+
"grad_norm": 0.30232823482832394,
|
232 |
+
"learning_rate": 3.635410406436857e-07,
|
233 |
+
"loss": 0.7616,
|
234 |
"step": 155
|
235 |
},
|
236 |
{
|
237 |
+
"epoch": 0.9474463360473723,
|
238 |
+
"grad_norm": 0.28964694770453414,
|
239 |
+
"learning_rate": 1.3819521147851122e-07,
|
240 |
+
"loss": 0.7609,
|
241 |
"step": 160
|
242 |
},
|
243 |
{
|
244 |
+
"epoch": 0.9770540340488527,
|
245 |
+
"grad_norm": 0.28146626492833826,
|
246 |
+
"learning_rate": 1.947230525005006e-08,
|
247 |
+
"loss": 0.7448,
|
248 |
"step": 165
|
249 |
},
|
250 |
{
|
251 |
+
"epoch": 0.9948186528497409,
|
252 |
+
"step": 168,
|
253 |
+
"total_flos": 76517996494848.0,
|
254 |
+
"train_loss": 0.8023917121546609,
|
255 |
+
"train_runtime": 1111.3885,
|
256 |
+
"train_samples_per_second": 19.444,
|
257 |
+
"train_steps_per_second": 0.151
|
258 |
}
|
259 |
],
|
260 |
"logging_steps": 5,
|
261 |
+
"max_steps": 168,
|
262 |
"num_input_tokens_seen": 0,
|
263 |
"num_train_epochs": 1,
|
264 |
"save_steps": 500,
|
|
|
274 |
"attributes": {}
|
275 |
}
|
276 |
},
|
277 |
+
"total_flos": 76517996494848.0,
|
278 |
+
"train_batch_size": 2,
|
279 |
"trial_name": null,
|
280 |
"trial_params": null
|
281 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:26ec61c7b0fd94fbbbbf8ec1c09add723b9f6175b65e350bab79108a82d4defe
|
3 |
+
size 7416
|