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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: facebook/wav2vec2-xls-r-1b |
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tags: |
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- automatic-speech-recognition |
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- bigcgen |
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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: xls-r-1b-bigcgen-combined-5hrs |
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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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# xls-r-1b-bigcgen-combined-5hrs |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the BIGCGEN - NA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6944 |
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- Wer: 0.6601 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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_steps: 500 |
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- num_epochs: 30.0 |
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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 | 0.4228 | 100 | 3.7787 | 1.0 | |
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| No log | 0.8457 | 200 | 2.8642 | 1.0 | |
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| No log | 1.2664 | 300 | 1.1326 | 0.9986 | |
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| No log | 1.6892 | 400 | 0.8747 | 0.8281 | |
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| 5.818 | 2.1099 | 500 | 0.7865 | 0.8027 | |
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| 5.818 | 2.5328 | 600 | 0.6710 | 0.6954 | |
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| 5.818 | 2.9556 | 700 | 0.7234 | 0.7939 | |
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| 5.818 | 3.3763 | 800 | 0.6657 | 0.6706 | |
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| 5.818 | 3.7992 | 900 | 0.6836 | 0.7246 | |
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| 1.2021 | 4.2199 | 1000 | 0.6894 | 0.6897 | |
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| 1.2021 | 4.6427 | 1100 | 0.6464 | 0.6642 | |
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| 1.2021 | 5.0634 | 1200 | 0.6663 | 0.6777 | |
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| 1.2021 | 5.4863 | 1300 | 0.6701 | 0.6704 | |
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| 1.2021 | 5.9091 | 1400 | 0.6834 | 0.6899 | |
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| 0.8307 | 6.3298 | 1500 | 0.6944 | 0.6600 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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