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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-xls-r-300m |
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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: 1-epochs12.0-char-based-freeze_cnn-dropout0.1 |
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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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# 1-epochs12.0-char-based-freeze_cnn-dropout0.1 |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Wer: 1.0 |
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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: 2e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 40 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 12.0 |
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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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| 3.6685 | 1.03 | 2500 | 4.0882 | 1.0 | |
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| 3.6718 | 2.06 | 5000 | 4.0882 | 1.0 | |
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| 3.6684 | 3.1 | 7500 | 4.0882 | 1.0 | |
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| 0.0 | 4.13 | 10000 | nan | 1.0 | |
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| 0.0 | 5.16 | 12500 | nan | 1.0 | |
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| 0.0 | 6.19 | 15000 | nan | 1.0 | |
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| 0.0 | 7.22 | 17500 | nan | 1.0 | |
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| 0.0 | 8.25 | 20000 | nan | 1.0 | |
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| 0.0 | 9.29 | 22500 | nan | 1.0 | |
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| 0.0 | 10.32 | 25000 | nan | 1.0 | |
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| 0.0 | 11.35 | 27500 | nan | 1.0 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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