Whisper Small GA-EN Speech Translation
This model is a fine-tuned version of openai/whisper-small on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Step | Training Loss | Validation Loss | Bleu | Chrf | Wer |
|---|---|---|---|---|---|
| 100 | 2.351300 | 1.908078 | 6.23 | 21.98 | 117.424584 |
| 200 | 1.831200 | 1.567262 | 10.80 | 30.01 | 109.770374 |
| 300 | 1.494100 | 1.421244 | 13.55 | 33.48 | 120.306168 |
| 400 | 1.309900 | 1.326882 | 19.54 | 41.06 | 77.217470 |
| 500 | 1.069600 | 1.285087 | 19.10 | 40.23 | 95.767672 |
| 600 | 0.889600 | 1.255216 | 16.45 | 38.59 | 110.445745 |
| 700 | 0.783700 | 1.204875 | 30.43 | 47.94 | 63.574966 |
| 800 | 0.653300 | 1.213243 | 24.28 | 43.24 | 72.219721 |
| 900 | 0.585300 | 1.246309 | 29.13 | 44.89 | 64.295362 |
| 1000 | 0.471100 | 1.236493 | 26.55 | 45.00 | 70.688879 |
| 1100 | 0.228500 | 1.271864 | 26.43 | 45.95 | 73.525439 |
| 1200 | 0.213200 | 1.297864 | 28.94 | 45.72 | 65.736155 |
| 1300 | 0.184800 | 1.262461 | 27.33 | 46.82 | 72.264746 |
| 1400 | 0.195100 | 1.283275 | 29.74 | 46.85 | 64.745610 |
| 1500 | 0.172600 | 1.252396 | 29.33 | 46.39 | 64.655561 |
| 1600 | 0.164400 | 1.295237 | 25.88 | 45.29 | 74.110761 |
| 1700 | 0.144700 | 1.291115 | 24.49 | 44.95 | 71.994597 |
| 1800 | 0.148200 | 1.260603 | 29.30 | 46.22 | 63.935164 |
| 1900 | 0.115800 | 1.292712 | 29.48 | 46.77 | 63.980189 |
| 2000 | 0.105900 | 1.293839 | 29.15 | 47.87 | 67.086898 |
| 2100 | 0.086100 | 1.295070 | 28.82 | 47.20 | 64.700585 |
| 2200 | 0.035700 | 1.303162 | 30.17 | 47.57 | 64.745610 |
| 2300 | 0.032700 | 1.324677 | 27.02 | 45.37 | 73.075191 |
| 2400 | 0.031700 | 1.286437 | 30.48 | 48.45 | 63.619991 |
| 2500 | 0.031200 | 1.305244 | 32.51 | 49.49 | 61.278703 |
| 2600 | 0.027300 | 1.306147 | 31.86 | 49.90 | 63.124719 |
| 2700 | 0.027000 | 1.321022 | 32.00 | 49.30 | 63.124719 |
| 2800 | 0.023100 | 1.305768 | 32.19 | 49.76 | 61.413778 |
| 2900 | 0.020800 | 1.319407 | 32.07 | 48.47 | 62.179199 |
| 3000 | 0.022800 | 1.318355 | 32.15 | 48.49 | 61.638901 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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