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--- |
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language: |
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- bn |
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license: apache-2.0 |
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base_model: bigscience/mt0-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: mt0-small-bn-to-ipa-v2 |
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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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# mt0-small-bn-to-ipa-v2 |
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This model is a fine-tuned version of [bigscience/mt0-small](https://huggingface.co/bigscience/mt0-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0551 |
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- Wer: 0.0327 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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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: 2000 |
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- num_epochs: 20 |
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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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| 0.079 | 3.64 | 4000 | 0.0600 | 0.0495 | |
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| 0.0602 | 7.27 | 8000 | 0.0563 | 0.0434 | |
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| 0.042 | 10.91 | 12000 | 0.0539 | 0.0378 | |
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| 0.0292 | 14.55 | 16000 | 0.0542 | 0.0346 | |
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| 0.0212 | 18.18 | 20000 | 0.0551 | 0.0327 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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