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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/umt5-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: t5-asr-CV16 |
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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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# t5-asr-CV16 |
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This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6678 |
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- Wer: 0.7639 |
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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: 5e-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: 128 |
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- total_train_batch_size: 4096 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 1.8105 | 1.9694 | 48 | 0.7812 | 0.8528 | |
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| 1.6752 | 3.9694 | 96 | 0.7174 | 0.8285 | |
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| 1.6146 | 5.9694 | 144 | 0.7357 | 0.8215 | |
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| 1.3847 | 7.9694 | 192 | 0.6796 | 0.8172 | |
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| 1.2792 | 9.9694 | 240 | 0.6601 | 0.7841 | |
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| 1.2129 | 11.9694 | 288 | 0.6540 | 0.7764 | |
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| 1.279 | 13.9694 | 336 | 0.6792 | 0.7837 | |
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| 1.1706 | 15.9694 | 384 | 0.6695 | 0.7888 | |
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| 1.0348 | 17.9694 | 432 | 0.6931 | 0.7948 | |
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| 0.9335 | 19.9694 | 480 | 0.6678 | 0.7639 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.21.0 |
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