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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-large-xlsr-53_final_train1 |
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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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# wav2vec2-large-xlsr-53_final_train1 |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6432 |
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- Wer: 0.6298 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 2 |
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- mixed_precision_training: Native AMP |
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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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| 3.6199 | 0.25 | 250 | 3.6163 | 1.0 | |
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| 3.0927 | 0.5 | 500 | 3.5932 | 1.0 | |
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| 3.0837 | 0.76 | 750 | 3.2418 | 1.0 | |
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| 2.2385 | 1.01 | 1000 | 1.2621 | 0.9855 | |
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| 1.743 | 1.26 | 1250 | 1.0830 | 0.9442 | |
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| 1.6661 | 1.51 | 1500 | 0.7926 | 0.8051 | |
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| 1.5661 | 1.77 | 1750 | 0.6432 | 0.6298 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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