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update model card README.md
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README.md
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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: XLRS-torgo
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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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# XLRS-torgo
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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: inf
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- Wer: 1.6074
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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: 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: 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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| 2.554 | 3.54 | 400 | inf | 1.6325 |
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| 2.3441 | 7.08 | 800 | inf | 1.6406 |
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| 1.7386 | 10.62 | 1200 | inf | 1.5875 |
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| 1.0358 | 14.16 | 1600 | inf | 1.6613 |
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| 0.6366 | 17.7 | 2000 | inf | 1.5348 |
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| 0.4175 | 21.24 | 2400 | inf | 1.6321 |
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| 0.3001 | 24.78 | 2800 | inf | 1.5772 |
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| 0.223 | 28.32 | 3200 | inf | 1.6074 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.10.0+cu113
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- Datasets 1.18.3
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- Tokenizers 0.13.1
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