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--- |
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library_name: transformers |
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language: |
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- lv |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper medium LV - Felikss Kleins-{timestamp} |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 17.0 |
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type: mozilla-foundation/common_voice_17_0 |
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config: lv |
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split: None |
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args: 'config: lv, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 10.601196845400864 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper medium LV - Felikss Kleins-{timestamp} |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2428 |
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- Wer: 10.6012 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 10000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-------:|:-----:|:---------------:|:-------:| |
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| No log | 0.02 | 200 | 0.2930 | 22.3576 | |
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| 0.9797 | 1.0116 | 400 | 0.2359 | 18.2083 | |
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| 0.357 | 2.0033 | 600 | 0.2274 | 16.4665 | |
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| 0.2582 | 2.0233 | 800 | 0.2111 | 15.6402 | |
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| 0.1718 | 3.0149 | 1000 | 0.2135 | 14.9883 | |
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| 0.1718 | 4.0066 | 1200 | 0.2090 | 14.2294 | |
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| 0.1355 | 4.0266 | 1400 | 0.2193 | 13.5537 | |
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| 0.1024 | 5.0183 | 1600 | 0.2255 | 14.5048 | |
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| 0.0836 | 6.0099 | 1800 | 0.2145 | 12.9751 | |
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| 0.0699 | 7.0015 | 2000 | 0.2232 | 13.2129 | |
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| 0.0699 | 7.0216 | 2200 | 0.2181 | 12.7155 | |
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| 0.0598 | 8.0132 | 2400 | 0.2192 | 12.7076 | |
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| 0.054 | 9.0048 | 2600 | 0.2348 | 13.0048 | |
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| 0.0452 | 9.0249 | 2800 | 0.2241 | 13.0940 | |
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| 0.0433 | 10.0165 | 3000 | 0.2406 | 12.6362 | |
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| 0.0433 | 11.0082 | 3200 | 0.2283 | 12.5332 | |
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| 0.0377 | 11.0282 | 3400 | 0.2293 | 12.2201 | |
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| 0.0317 | 12.0198 | 3600 | 0.2323 | 12.6144 | |
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| 0.0297 | 13.0114 | 3800 | 0.2309 | 12.2974 | |
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| 0.0267 | 14.0031 | 4000 | 0.2342 | 11.9011 | |
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| 0.0267 | 14.0231 | 4200 | 0.2286 | 12.1171 | |
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| 0.0243 | 15.0147 | 4400 | 0.2364 | 12.0854 | |
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| 0.0218 | 16.0064 | 4600 | 0.2405 | 12.1805 | |
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| 0.021 | 16.0264 | 4800 | 0.2422 | 12.0338 | |
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| 0.0173 | 17.0180 | 5000 | 0.2416 | 11.9387 | |
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| 0.0173 | 18.0097 | 5200 | 0.2421 | 12.0180 | |
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| 0.0175 | 19.0013 | 5400 | 0.2385 | 11.6613 | |
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| 0.0161 | 19.0214 | 5600 | 0.2442 | 11.9090 | |
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| 0.0136 | 20.013 | 5800 | 0.2411 | 11.4513 | |
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| 0.0135 | 21.0047 | 6000 | 0.2470 | 12.0418 | |
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| 0.0135 | 21.0247 | 6200 | 0.2446 | 11.5246 | |
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| 0.0117 | 22.0163 | 6400 | 0.2466 | 11.7386 | |
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| 0.0111 | 23.0080 | 6600 | 0.2498 | 12.0715 | |
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| 0.01 | 23.0280 | 6800 | 0.2487 | 12.0596 | |
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| 0.0094 | 24.0196 | 7000 | 0.2431 | 11.4315 | |
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| 0.0094 | 25.0113 | 7200 | 0.2460 | 11.5702 | |
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| 0.009 | 26.0029 | 7400 | 0.2436 | 11.2293 | |
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| 0.0077 | 26.0229 | 7600 | 0.2467 | 11.3423 | |
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| 0.007 | 27.0145 | 7800 | 0.2439 | 11.0054 | |
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| 0.0071 | 28.0062 | 8000 | 0.2430 | 11.1996 | |
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| 0.0071 | 28.0262 | 8200 | 0.2458 | 11.1798 | |
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| 0.0063 | 29.0178 | 8400 | 0.2456 | 11.0847 | |
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| 0.0049 | 30.0095 | 8600 | 0.2450 | 11.1303 | |
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| 0.0049 | 31.0011 | 8800 | 0.2467 | 11.0530 | |
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| 0.0053 | 31.0211 | 9000 | 0.2448 | 11.1085 | |
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| 0.0053 | 32.0128 | 9200 | 0.2467 | 11.2650 | |
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| 0.0041 | 33.0044 | 9400 | 0.2444 | 11.0728 | |
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| 0.0045 | 33.0245 | 9600 | 0.2426 | 10.6547 | |
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| 0.0036 | 34.0161 | 9800 | 0.2427 | 10.5972 | |
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| 0.004 | 35.0078 | 10000 | 0.2428 | 10.6012 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.0.1 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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