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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: uaspeech-foundation-fintuned |
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results: [] |
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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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# uaspeech-foundation-fintuned |
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- Loss: 2.5324 |
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- Wer: 1.2855 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 1000 |
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- num_epochs: 30 |
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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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| 41.2984 | 0.7 | 500 | 2.8954 | 1.0 | |
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| 3.0227 | 1.4 | 1000 | 2.8232 | 1.0042 | |
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| 2.8283 | 2.11 | 1500 | 2.6291 | 1.0309 | |
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| 2.5552 | 2.81 | 2000 | 2.2593 | 1.9170 | |
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| 2.1714 | 3.51 | 2500 | 1.9586 | 1.9142 | |
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| 1.8537 | 4.21 | 3000 | 1.5725 | 1.8579 | |
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| 1.6087 | 4.92 | 3500 | 1.2772 | 1.7426 | |
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| 1.3108 | 5.62 | 4000 | 1.2792 | 1.6751 | |
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| 1.1652 | 6.32 | 4500 | 1.4565 | 1.6174 | |
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| 1.0113 | 7.02 | 5000 | 1.1906 | 1.5626 | |
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| 0.925 | 7.72 | 5500 | 1.4491 | 1.5260 | |
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| 0.8183 | 8.43 | 6000 | 1.3712 | 1.5387 | |
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| 0.7118 | 9.13 | 6500 | 1.4713 | 1.4866 | |
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| 0.6959 | 9.83 | 7000 | 1.3336 | 1.4318 | |
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| 0.6146 | 10.53 | 7500 | 1.3690 | 1.4177 | |
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| 0.5655 | 11.24 | 8000 | 1.3789 | 1.4135 | |
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| 0.4969 | 11.94 | 8500 | 1.5476 | 1.3966 | |
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| 0.4705 | 12.64 | 9000 | 1.9062 | 1.3797 | |
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| 0.4387 | 13.34 | 9500 | 1.2711 | 1.3924 | |
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| 0.4115 | 14.04 | 10000 | 1.6318 | 1.3769 | |
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| 0.3695 | 14.75 | 10500 | 1.5119 | 1.3755 | |
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| 0.377 | 15.45 | 11000 | 1.6637 | 1.3812 | |
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| 0.3788 | 16.15 | 11500 | 1.6636 | 1.3699 | |
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| 0.3396 | 16.85 | 12000 | 1.6572 | 1.3418 | |
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| 0.3047 | 17.56 | 12500 | 1.4740 | 1.3361 | |
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| 0.2804 | 18.26 | 13000 | 2.0885 | 1.3249 | |
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| 0.2995 | 18.96 | 13500 | 1.9536 | 1.3235 | |
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| 0.2628 | 19.66 | 14000 | 1.7736 | 1.3179 | |
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| 0.2703 | 20.37 | 14500 | 2.0018 | 1.3291 | |
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| 0.2335 | 21.07 | 15000 | 1.7962 | 1.3221 | |
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| 0.2068 | 21.77 | 15500 | 2.3187 | 1.3136 | |
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| 0.2311 | 22.47 | 16000 | 2.4853 | 1.3291 | |
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| 0.2491 | 23.17 | 16500 | 2.1901 | 1.3024 | |
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| 0.1836 | 23.88 | 17000 | 2.4344 | 1.2911 | |
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| 0.1823 | 24.58 | 17500 | 2.3705 | 1.3066 | |
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| 0.1575 | 25.28 | 18000 | 2.1864 | 1.2897 | |
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| 0.1451 | 25.98 | 18500 | 2.4216 | 1.2883 | |
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| 0.1502 | 26.69 | 19000 | 2.1780 | 1.2855 | |
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| 0.1392 | 27.39 | 19500 | 2.4009 | 1.2925 | |
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| 0.1609 | 28.09 | 20000 | 2.4250 | 1.2982 | |
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| 0.1066 | 28.79 | 20500 | 2.4433 | 1.2897 | |
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| 0.1514 | 29.49 | 21000 | 2.5063 | 1.2855 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.13.2 |
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