Model save

README.md

@@ -0,0 +1,159 @@
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-tiny-kor-430k-hf-ep100
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# whisper-tiny-kor-430k-hf-ep100
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4802
+- Cer: 7.0810
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 128
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Cer     |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|
+| 0.0276        | 1.0   | 2969   | 0.1394          | 10.5081 |
+| 0.0115        | 2.0   | 5938   | 0.1684          | 9.0941  |
+| 0.0082        | 3.0   | 8907   | 0.1932          | 8.4145  |
+| 0.0063        | 4.0   | 11876  | 0.2197          | 7.8659  |
+| 0.0052        | 5.0   | 14845  | 0.2516          | 7.7668  |
+| 0.0047        | 6.0   | 17814  | 0.2314          | 8.0565  |
+| 0.004         | 7.0   | 20783  | 0.2270          | 8.3521  |
+| 0.0037        | 8.0   | 23752  | 0.2540          | 7.8283  |
+| 0.0033        | 9.0   | 26721  | 0.2586          | 7.9098  |
+| 0.0028        | 10.0  | 29690  | 0.2891          | 7.4437  |
+| 0.0029        | 11.0  | 32659  | 0.2796          | 7.7976  |
+| 0.0025        | 12.0  | 35628  | 0.2630          | 8.2731  |
+| 0.0025        | 13.0  | 38597  | 0.2955          | 7.8518  |
+| 0.0025        | 14.0  | 41566  | 0.2812          | 7.4797  |
+| 0.002         | 15.0  | 44535  | 0.2859          | 7.9954  |
+| 0.0023        | 16.0  | 47504  | 0.3172          | 7.2374  |
+| 0.002         | 17.0  | 50473  | 0.3382          | 7.5966  |
+| 0.0018        | 18.0  | 53442  | 0.3320          | 7.6383  |
+| 0.0018        | 19.0  | 56411  | 0.3197          | 7.6900  |
+| 0.0015        | 20.0  | 59380  | 0.3305          | 8.3678  |
+| 0.0016        | 21.0  | 62349  | 0.3409          | 7.5117  |
+| 0.0015        | 22.0  | 65318  | 0.3382          | 7.8556  |
+| 0.0016        | 23.0  | 68287  | 0.3282          | 7.5863  |
+| 0.0015        | 24.0  | 71256  | 0.3220          | 8.2449  |
+| 0.0013        | 25.0  | 74225  | 0.3272          | 7.7731  |
+| 0.0015        | 26.0  | 77194  | 0.3557          | 7.8019  |
+| 0.0014        | 27.0  | 80163  | 0.3807          | 7.3311  |
+| 0.0012        | 28.0  | 83132  | 0.3398          | 7.8117  |
+| 0.0013        | 29.0  | 86101  | 0.3892          | 7.6089  |
+| 0.001         | 30.0  | 89070  | 0.3876          | 7.7875  |
+| 0.0011        | 31.0  | 92039  | 0.3942          | 7.3922  |
+| 0.0012        | 32.0  | 95008  | 0.3836          | 8.0308  |
+| 0.0011        | 33.0  | 97977  | 0.3745          | 7.9775  |
+| 0.001         | 34.0  | 100946 | 0.3605          | 8.0117  |
+| 0.001         | 35.0  | 103915 | 0.3615          | 7.4853  |
+| 0.001         | 36.0  | 106884 | 0.3563          | 7.5916  |
+| 0.0009        | 37.0  | 109853 | 0.3469          | 7.4750  |
+| 0.0009        | 38.0  | 112822 | 0.3940          | 7.5919  |
+| 0.0009        | 39.0  | 115791 | 0.3771          | 7.5443  |
+| 0.0009        | 40.0  | 118760 | 0.3392          | 7.6593  |
+| 0.0009        | 41.0  | 121729 | 0.3498          | 7.6393  |
+| 0.0009        | 42.0  | 124698 | 0.3705          | 7.4474  |
+| 0.0008        | 43.0  | 127667 | 0.3758          | 7.2274  |
+| 0.0008        | 44.0  | 130636 | 0.3944          | 7.6919  |
+| 0.0009        | 45.0  | 133605 | 0.3885          | 7.5565  |
+| 0.0008        | 46.0  | 136574 | 0.3830          | 7.4628  |
+| 0.0008        | 47.0  | 139543 | 0.3972          | 7.8546  |
+| 0.0008        | 48.0  | 142512 | 0.3875          | 7.4916  |
+| 0.0007        | 49.0  | 145481 | 0.3438          | 7.2606  |
+| 0.0007        | 50.0  | 148450 | 0.3540          | 7.1581  |
+| 0.0008        | 51.0  | 151419 | 0.3768          | 7.1712  |
+| 0.0007        | 52.0  | 154388 | 0.4050          | 7.2286  |
+| 0.0007        | 53.0  | 157357 | 0.3785          | 7.4637  |
+| 0.0008        | 54.0  | 160326 | 0.4145          | 7.4800  |
+| 0.0008        | 55.0  | 163295 | 0.4042          | 7.3791  |
+| 0.0006        | 56.0  | 166264 | 0.3885          | 7.6994  |
+| 0.0006        | 57.0  | 169233 | 0.4153          | 7.5440  |
+| 0.0006        | 58.0  | 172202 | 0.4111          | 7.3408  |
+| 0.0006        | 59.0  | 175171 | 0.4147          | 7.2872  |
+| 0.0006        | 60.0  | 178140 | 0.4209          | 7.6270  |
+| 0.0006        | 61.0  | 181109 | 0.4041          | 7.4258  |
+| 0.0006        | 62.0  | 184078 | 0.4032          | 7.5324  |
+| 0.0006        | 63.0  | 187047 | 0.4214          | 7.3687  |
+| 0.0005        | 64.0  | 190016 | 0.3991          | 7.2750  |
+| 0.0005        | 65.0  | 192985 | 0.3885          | 7.1731  |
+| 0.0006        | 66.0  | 195954 | 0.4087          | 7.5063  |
+| 0.0005        | 67.0  | 198923 | 0.3760          | 7.4913  |
+| 0.0005        | 68.0  | 201892 | 0.3929          | 7.3314  |
+| 0.0005        | 69.0  | 204861 | 0.4044          | 7.5173  |
+| 0.0005        | 70.0  | 207830 | 0.4075          | 7.2712  |
+| 0.0005        | 71.0  | 210799 | 0.4170          | 7.2415  |
+| 0.0005        | 72.0  | 213768 | 0.4148          | 7.1142  |
+| 0.0005        | 73.0  | 216737 | 0.4271          | 7.3020  |
+| 0.0005        | 74.0  | 219706 | 0.4281          | 7.1863  |
+| 0.0004        | 75.0  | 222675 | 0.4202          | 7.1543  |
+| 0.0005        | 76.0  | 225644 | 0.4320          | 7.2910  |
+| 0.0005        | 77.0  | 228613 | 0.4328          | 7.3995  |
+| 0.0005        | 78.0  | 231582 | 0.4304          | 7.2255  |
+| 0.0005        | 79.0  | 234551 | 0.4537          | 7.0023  |
+| 0.0005        | 80.0  | 237520 | 0.4544          | 7.2048  |
+| 0.0004        | 81.0  | 240489 | 0.4485          | 7.2167  |
+| 0.0005        | 82.0  | 243458 | 0.4564          | 7.1794  |
+| 0.0004        | 83.0  | 246427 | 0.4608          | 7.2145  |
+| 0.0004        | 84.0  | 249396 | 0.4724          | 7.2098  |
+| 0.0004        | 85.0  | 252365 | 0.4726          | 7.1424  |
+| 0.0004        | 86.0  | 255334 | 0.4754          | 7.2832  |
+| 0.0005        | 87.0  | 258303 | 0.4765          | 7.1709  |
+| 0.0004        | 88.0  | 261272 | 0.4610          | 7.1358  |
+| 0.0004        | 89.0  | 264241 | 0.4697          | 7.0797  |
+| 0.0004        | 90.0  | 267210 | 0.4717          | 7.0913  |
+| 0.0004        | 91.0  | 270179 | 0.4756          | 7.1017  |
+| 0.0004        | 92.0  | 273148 | 0.4766          | 7.2089  |
+| 0.0004        | 93.0  | 276117 | 0.4763          | 7.1057  |
+| 0.0004        | 94.0  | 279086 | 0.4764          | 7.1101  |
+| 0.0004        | 95.0  | 282055 | 0.4759          | 7.2170  |
+| 0.0004        | 96.0  | 285024 | 0.4772          | 7.1104  |
+| 0.0004        | 97.0  | 287993 | 0.4781          | 7.0819  |
+| 0.0004        | 98.0  | 290962 | 0.4798          | 7.0897  |
+| 0.0004        | 99.0  | 293931 | 0.4800          | 7.0872  |
+| 0.0004        | 100.0 | 296900 | 0.4802          | 7.0810  |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
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+}

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