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--- |
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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: seq-xls-r-fleurs_zu-run3-asr_xh-run10 |
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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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# seq-xls-r-fleurs_zu-run3-asr_xh-run10 |
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This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_zu-run3](https://huggingface.co/lucas-meyer/xls-r-fleurs_zu-run3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4363 |
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- Wer: 0.4998 |
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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: 0.0003 |
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- train_batch_size: 8 |
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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: 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: 500 |
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- num_epochs: 30 |
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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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| 5.4903 | 1.59 | 250 | 0.9489 | 0.7525 | |
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| 0.6278 | 3.18 | 500 | 0.4877 | 0.6284 | |
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| 0.3831 | 4.78 | 750 | 0.4181 | 0.5640 | |
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| 0.2639 | 6.37 | 1000 | 0.3858 | 0.5018 | |
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| 0.1961 | 7.96 | 1250 | 0.4228 | 0.4995 | |
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| 0.1579 | 9.55 | 1500 | 0.4363 | 0.4998 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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