Model save
Browse files- README.md +8 -5
- all_results.json +14 -0
- eval_results.json +9 -0
- pytorch_model.bin +1 -1
- train_results.json +8 -0
- trainer_state.json +526 -0
- training_args.bin +1 -1
README.md
CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Wer: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
@@ -46,14 +46,17 @@ The following hyperparameters were used during training:
|
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
48 |
- lr_scheduler_warmup_steps: 500
|
49 |
-
- training_steps:
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
54 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
55 |
-
| 0.
|
56 |
-
| 0.
|
|
|
|
|
|
|
57 |
|
58 |
|
59 |
### Framework versions
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.3972
|
21 |
+
- Wer: 0.2487
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
48 |
- lr_scheduler_warmup_steps: 500
|
49 |
+
- training_steps: 5000
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
54 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
55 |
+
| 0.0282 | 4.89 | 1000 | 0.2700 | 0.2647 |
|
56 |
+
| 0.0025 | 9.78 | 2000 | 0.3434 | 0.2554 |
|
57 |
+
| 0.0001 | 14.67 | 3000 | 0.3640 | 0.2471 |
|
58 |
+
| 0.0 | 19.56 | 4000 | 0.3902 | 0.2494 |
|
59 |
+
| 0.0 | 24.45 | 5000 | 0.3972 | 0.2487 |
|
60 |
|
61 |
|
62 |
### Framework versions
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.78,
|
3 |
+
"eval_loss": 0.3270670771598816,
|
4 |
+
"eval_runtime": 1012.2261,
|
5 |
+
"eval_samples": 2894,
|
6 |
+
"eval_samples_per_second": 2.859,
|
7 |
+
"eval_steps_per_second": 0.179,
|
8 |
+
"eval_wer": 0.2435029205113011,
|
9 |
+
"train_loss": 0.06386898325150833,
|
10 |
+
"train_runtime": 15830.7471,
|
11 |
+
"train_samples": 6540,
|
12 |
+
"train_samples_per_second": 4.043,
|
13 |
+
"train_steps_per_second": 0.126
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.78,
|
3 |
+
"eval_loss": 0.3270670771598816,
|
4 |
+
"eval_runtime": 1012.2261,
|
5 |
+
"eval_samples": 2894,
|
6 |
+
"eval_samples_per_second": 2.859,
|
7 |
+
"eval_steps_per_second": 0.179,
|
8 |
+
"eval_wer": 0.2435029205113011
|
9 |
+
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3055754969
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8467f4a282e9b110cd68a87ca9bfdf9365e37d6f07bb52c527517b55c463fc9e
|
3 |
size 3055754969
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.78,
|
3 |
+
"train_loss": 0.06386898325150833,
|
4 |
+
"train_runtime": 15830.7471,
|
5 |
+
"train_samples": 6540,
|
6 |
+
"train_samples_per_second": 4.043,
|
7 |
+
"train_steps_per_second": 0.126
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,526 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.7799511002445,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 2000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.12,
|
13 |
+
"learning_rate": 5.000000000000001e-07,
|
14 |
+
"loss": 0.6666,
|
15 |
+
"step": 25
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.24,
|
19 |
+
"learning_rate": 1.0000000000000002e-06,
|
20 |
+
"loss": 0.4618,
|
21 |
+
"step": 50
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.37,
|
25 |
+
"learning_rate": 1.5e-06,
|
26 |
+
"loss": 0.4005,
|
27 |
+
"step": 75
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.49,
|
31 |
+
"learning_rate": 2.0000000000000003e-06,
|
32 |
+
"loss": 0.2467,
|
33 |
+
"step": 100
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.61,
|
37 |
+
"learning_rate": 2.5e-06,
|
38 |
+
"loss": 0.2931,
|
39 |
+
"step": 125
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.73,
|
43 |
+
"learning_rate": 3e-06,
|
44 |
+
"loss": 0.1967,
|
45 |
+
"step": 150
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.86,
|
49 |
+
"learning_rate": 3.5e-06,
|
50 |
+
"loss": 0.253,
|
51 |
+
"step": 175
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.98,
|
55 |
+
"learning_rate": 4.000000000000001e-06,
|
56 |
+
"loss": 0.1654,
|
57 |
+
"step": 200
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 1.1,
|
61 |
+
"learning_rate": 4.5e-06,
|
62 |
+
"loss": 0.1921,
|
63 |
+
"step": 225
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 1.22,
|
67 |
+
"learning_rate": 5e-06,
|
68 |
+
"loss": 0.1238,
|
69 |
+
"step": 250
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 1.34,
|
73 |
+
"learning_rate": 5.500000000000001e-06,
|
74 |
+
"loss": 0.1626,
|
75 |
+
"step": 275
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 1.47,
|
79 |
+
"learning_rate": 6e-06,
|
80 |
+
"loss": 0.1193,
|
81 |
+
"step": 300
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.59,
|
85 |
+
"learning_rate": 6.5000000000000004e-06,
|
86 |
+
"loss": 0.1468,
|
87 |
+
"step": 325
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.71,
|
91 |
+
"learning_rate": 7e-06,
|
92 |
+
"loss": 0.1096,
|
93 |
+
"step": 350
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.83,
|
97 |
+
"learning_rate": 7.500000000000001e-06,
|
98 |
+
"loss": 0.1499,
|
99 |
+
"step": 375
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1.96,
|
103 |
+
"learning_rate": 8.000000000000001e-06,
|
104 |
+
"loss": 0.109,
|
105 |
+
"step": 400
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 2.08,
|
109 |
+
"learning_rate": 8.5e-06,
|
110 |
+
"loss": 0.1019,
|
111 |
+
"step": 425
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.2,
|
115 |
+
"learning_rate": 9e-06,
|
116 |
+
"loss": 0.0609,
|
117 |
+
"step": 450
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 2.32,
|
121 |
+
"learning_rate": 9.5e-06,
|
122 |
+
"loss": 0.0767,
|
123 |
+
"step": 475
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 2.44,
|
127 |
+
"learning_rate": 1e-05,
|
128 |
+
"loss": 0.0703,
|
129 |
+
"step": 500
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 2.57,
|
133 |
+
"learning_rate": 9.833333333333333e-06,
|
134 |
+
"loss": 0.0874,
|
135 |
+
"step": 525
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 2.69,
|
139 |
+
"learning_rate": 9.666666666666667e-06,
|
140 |
+
"loss": 0.074,
|
141 |
+
"step": 550
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 2.81,
|
145 |
+
"learning_rate": 9.5e-06,
|
146 |
+
"loss": 0.0868,
|
147 |
+
"step": 575
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 2.93,
|
151 |
+
"learning_rate": 9.333333333333334e-06,
|
152 |
+
"loss": 0.0697,
|
153 |
+
"step": 600
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 3.06,
|
157 |
+
"learning_rate": 9.166666666666666e-06,
|
158 |
+
"loss": 0.0552,
|
159 |
+
"step": 625
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 3.18,
|
163 |
+
"learning_rate": 9e-06,
|
164 |
+
"loss": 0.038,
|
165 |
+
"step": 650
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 3.3,
|
169 |
+
"learning_rate": 8.833333333333334e-06,
|
170 |
+
"loss": 0.0427,
|
171 |
+
"step": 675
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 3.42,
|
175 |
+
"learning_rate": 8.666666666666668e-06,
|
176 |
+
"loss": 0.0363,
|
177 |
+
"step": 700
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 3.55,
|
181 |
+
"learning_rate": 8.5e-06,
|
182 |
+
"loss": 0.0422,
|
183 |
+
"step": 725
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 3.67,
|
187 |
+
"learning_rate": 8.333333333333334e-06,
|
188 |
+
"loss": 0.0396,
|
189 |
+
"step": 750
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 3.79,
|
193 |
+
"learning_rate": 8.166666666666668e-06,
|
194 |
+
"loss": 0.0465,
|
195 |
+
"step": 775
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 3.91,
|
199 |
+
"learning_rate": 8.000000000000001e-06,
|
200 |
+
"loss": 0.0413,
|
201 |
+
"step": 800
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 4.03,
|
205 |
+
"learning_rate": 7.833333333333333e-06,
|
206 |
+
"loss": 0.0308,
|
207 |
+
"step": 825
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 4.16,
|
211 |
+
"learning_rate": 7.666666666666667e-06,
|
212 |
+
"loss": 0.0211,
|
213 |
+
"step": 850
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 4.28,
|
217 |
+
"learning_rate": 7.500000000000001e-06,
|
218 |
+
"loss": 0.0206,
|
219 |
+
"step": 875
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 4.4,
|
223 |
+
"learning_rate": 7.333333333333333e-06,
|
224 |
+
"loss": 0.0225,
|
225 |
+
"step": 900
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 4.52,
|
229 |
+
"learning_rate": 7.166666666666667e-06,
|
230 |
+
"loss": 0.0206,
|
231 |
+
"step": 925
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 4.65,
|
235 |
+
"learning_rate": 7e-06,
|
236 |
+
"loss": 0.0248,
|
237 |
+
"step": 950
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 4.77,
|
241 |
+
"learning_rate": 6.833333333333334e-06,
|
242 |
+
"loss": 0.0228,
|
243 |
+
"step": 975
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 4.89,
|
247 |
+
"learning_rate": 6.666666666666667e-06,
|
248 |
+
"loss": 0.0233,
|
249 |
+
"step": 1000
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 4.89,
|
253 |
+
"eval_loss": 0.26726391911506653,
|
254 |
+
"eval_runtime": 1030.3192,
|
255 |
+
"eval_samples_per_second": 2.809,
|
256 |
+
"eval_steps_per_second": 0.176,
|
257 |
+
"eval_wer": 0.264200457123508,
|
258 |
+
"step": 1000
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 5.01,
|
262 |
+
"learning_rate": 6.5000000000000004e-06,
|
263 |
+
"loss": 0.0171,
|
264 |
+
"step": 1025
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 5.13,
|
268 |
+
"learning_rate": 6.333333333333333e-06,
|
269 |
+
"loss": 0.0122,
|
270 |
+
"step": 1050
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 5.26,
|
274 |
+
"learning_rate": 6.166666666666667e-06,
|
275 |
+
"loss": 0.009,
|
276 |
+
"step": 1075
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 5.38,
|
280 |
+
"learning_rate": 6e-06,
|
281 |
+
"loss": 0.0143,
|
282 |
+
"step": 1100
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 5.5,
|
286 |
+
"learning_rate": 5.833333333333334e-06,
|
287 |
+
"loss": 0.0093,
|
288 |
+
"step": 1125
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 5.62,
|
292 |
+
"learning_rate": 5.666666666666667e-06,
|
293 |
+
"loss": 0.0116,
|
294 |
+
"step": 1150
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 5.75,
|
298 |
+
"learning_rate": 5.500000000000001e-06,
|
299 |
+
"loss": 0.01,
|
300 |
+
"step": 1175
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 5.87,
|
304 |
+
"learning_rate": 5.333333333333334e-06,
|
305 |
+
"loss": 0.0108,
|
306 |
+
"step": 1200
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 5.99,
|
310 |
+
"learning_rate": 5.1666666666666675e-06,
|
311 |
+
"loss": 0.0061,
|
312 |
+
"step": 1225
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 6.11,
|
316 |
+
"learning_rate": 5e-06,
|
317 |
+
"loss": 0.0072,
|
318 |
+
"step": 1250
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 6.23,
|
322 |
+
"learning_rate": 4.833333333333333e-06,
|
323 |
+
"loss": 0.0031,
|
324 |
+
"step": 1275
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 6.36,
|
328 |
+
"learning_rate": 4.666666666666667e-06,
|
329 |
+
"loss": 0.0058,
|
330 |
+
"step": 1300
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 6.48,
|
334 |
+
"learning_rate": 4.5e-06,
|
335 |
+
"loss": 0.0028,
|
336 |
+
"step": 1325
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 6.6,
|
340 |
+
"learning_rate": 4.333333333333334e-06,
|
341 |
+
"loss": 0.0057,
|
342 |
+
"step": 1350
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 6.72,
|
346 |
+
"learning_rate": 4.166666666666667e-06,
|
347 |
+
"loss": 0.0034,
|
348 |
+
"step": 1375
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 6.85,
|
352 |
+
"learning_rate": 4.000000000000001e-06,
|
353 |
+
"loss": 0.0052,
|
354 |
+
"step": 1400
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 6.97,
|
358 |
+
"learning_rate": 3.833333333333334e-06,
|
359 |
+
"loss": 0.0023,
|
360 |
+
"step": 1425
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 7.09,
|
364 |
+
"learning_rate": 3.6666666666666666e-06,
|
365 |
+
"loss": 0.0032,
|
366 |
+
"step": 1450
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 7.21,
|
370 |
+
"learning_rate": 3.5e-06,
|
371 |
+
"loss": 0.0011,
|
372 |
+
"step": 1475
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 7.33,
|
376 |
+
"learning_rate": 3.3333333333333333e-06,
|
377 |
+
"loss": 0.0017,
|
378 |
+
"step": 1500
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 7.46,
|
382 |
+
"learning_rate": 3.1666666666666667e-06,
|
383 |
+
"loss": 0.0012,
|
384 |
+
"step": 1525
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 7.58,
|
388 |
+
"learning_rate": 3e-06,
|
389 |
+
"loss": 0.002,
|
390 |
+
"step": 1550
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 7.7,
|
394 |
+
"learning_rate": 2.8333333333333335e-06,
|
395 |
+
"loss": 0.0008,
|
396 |
+
"step": 1575
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 7.82,
|
400 |
+
"learning_rate": 2.666666666666667e-06,
|
401 |
+
"loss": 0.0018,
|
402 |
+
"step": 1600
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 7.95,
|
406 |
+
"learning_rate": 2.5e-06,
|
407 |
+
"loss": 0.0017,
|
408 |
+
"step": 1625
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 8.07,
|
412 |
+
"learning_rate": 2.3333333333333336e-06,
|
413 |
+
"loss": 0.0008,
|
414 |
+
"step": 1650
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 8.19,
|
418 |
+
"learning_rate": 2.166666666666667e-06,
|
419 |
+
"loss": 0.0008,
|
420 |
+
"step": 1675
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 8.31,
|
424 |
+
"learning_rate": 2.0000000000000003e-06,
|
425 |
+
"loss": 0.0007,
|
426 |
+
"step": 1700
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 8.44,
|
430 |
+
"learning_rate": 1.8333333333333333e-06,
|
431 |
+
"loss": 0.0004,
|
432 |
+
"step": 1725
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 8.56,
|
436 |
+
"learning_rate": 1.6666666666666667e-06,
|
437 |
+
"loss": 0.0007,
|
438 |
+
"step": 1750
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 8.68,
|
442 |
+
"learning_rate": 1.5e-06,
|
443 |
+
"loss": 0.0004,
|
444 |
+
"step": 1775
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 8.8,
|
448 |
+
"learning_rate": 1.3333333333333334e-06,
|
449 |
+
"loss": 0.0005,
|
450 |
+
"step": 1800
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 8.92,
|
454 |
+
"learning_rate": 1.1666666666666668e-06,
|
455 |
+
"loss": 0.0005,
|
456 |
+
"step": 1825
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 9.05,
|
460 |
+
"learning_rate": 1.0000000000000002e-06,
|
461 |
+
"loss": 0.0004,
|
462 |
+
"step": 1850
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 9.17,
|
466 |
+
"learning_rate": 8.333333333333333e-07,
|
467 |
+
"loss": 0.0003,
|
468 |
+
"step": 1875
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 9.29,
|
472 |
+
"learning_rate": 6.666666666666667e-07,
|
473 |
+
"loss": 0.0004,
|
474 |
+
"step": 1900
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 9.41,
|
478 |
+
"learning_rate": 5.000000000000001e-07,
|
479 |
+
"loss": 0.0003,
|
480 |
+
"step": 1925
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 9.54,
|
484 |
+
"learning_rate": 3.3333333333333335e-07,
|
485 |
+
"loss": 0.0004,
|
486 |
+
"step": 1950
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 9.66,
|
490 |
+
"learning_rate": 1.6666666666666668e-07,
|
491 |
+
"loss": 0.0003,
|
492 |
+
"step": 1975
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 9.78,
|
496 |
+
"learning_rate": 0.0,
|
497 |
+
"loss": 0.0003,
|
498 |
+
"step": 2000
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 9.78,
|
502 |
+
"eval_loss": 0.3270670771598816,
|
503 |
+
"eval_runtime": 1014.5775,
|
504 |
+
"eval_samples_per_second": 2.852,
|
505 |
+
"eval_steps_per_second": 0.178,
|
506 |
+
"eval_wer": 0.2435029205113011,
|
507 |
+
"step": 2000
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 9.78,
|
511 |
+
"step": 2000,
|
512 |
+
"total_flos": 6.528197230460928e+19,
|
513 |
+
"train_loss": 0.06386898325150833,
|
514 |
+
"train_runtime": 15830.7471,
|
515 |
+
"train_samples_per_second": 4.043,
|
516 |
+
"train_steps_per_second": 0.126
|
517 |
+
}
|
518 |
+
],
|
519 |
+
"logging_steps": 25,
|
520 |
+
"max_steps": 2000,
|
521 |
+
"num_train_epochs": 10,
|
522 |
+
"save_steps": 1000,
|
523 |
+
"total_flos": 6.528197230460928e+19,
|
524 |
+
"trial_name": null,
|
525 |
+
"trial_params": null
|
526 |
+
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4219
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eb08232344994b20ec55fad2641a1ee6b0f5f04bbc511c57fee1e6352f8e6a26
|
3 |
size 4219
|