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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: Osolon/wav2vec2-large-xls-r-300m-pl |
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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: test_pelby_v3 |
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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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# test_pelby_v3 |
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This model is a fine-tuned version of [Osolon/wav2vec2-large-xls-r-300m-pl](https://huggingface.co/Osolon/wav2vec2-large-xls-r-300m-pl) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: inf |
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- Wer: 0.0850 |
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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: 8 |
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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: 16 |
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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: 100 |
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- num_epochs: 1 |
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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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| 0.2464 | 0.1241 | 400 | inf | 0.2219 | |
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| 0.2056 | 0.2481 | 800 | inf | 0.1526 | |
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| 0.1711 | 0.3722 | 1200 | inf | 0.1356 | |
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| 0.1399 | 0.4963 | 1600 | inf | 0.1103 | |
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| 0.1453 | 0.6203 | 2000 | inf | 0.1087 | |
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| 0.1221 | 0.7444 | 2400 | inf | 0.0938 | |
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| 0.1122 | 0.8685 | 2800 | inf | 0.0877 | |
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| 0.109 | 0.9926 | 3200 | inf | 0.0850 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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