End of training
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README.md
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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: 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: model
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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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# model
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0314
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- Wer: 0.2727
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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| 5.802 | 5.6338 | 400 | 3.6938 | 1.0 |
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| 2.5473 | 11.2676 | 800 | 1.1631 | 1.0 |
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| 1.4959 | 16.9014 | 1200 | 0.3692 | 1.0182 |
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| 0.8394 | 22.5352 | 1600 | 0.0807 | 0.3636 |
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| 0.4855 | 28.1690 | 2000 | 0.0314 | 0.2727 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.7.0+cu118
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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