Model save
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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-1b
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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: xls-r-1b-bem-sv-male
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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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# xls-r-1b-bem-sv-male
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1523
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- Wer: 0.6229
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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: 5e-05
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- train_batch_size: 4
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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: 8
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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: 5.0
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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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| 0.9808 | 0.5206 | 500 | 0.2580 | 0.8362 |
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| 0.3877 | 1.0411 | 1000 | 0.2041 | 0.7790 |
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| 0.298 | 1.5617 | 1500 | 0.1843 | 0.7619 |
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| 0.2433 | 2.0822 | 2000 | 0.1621 | 0.7010 |
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| 0.188 | 2.6028 | 2500 | 0.1653 | 0.6838 |
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| 0.1521 | 3.1234 | 3000 | 0.1491 | 0.6590 |
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| 0.1316 | 3.6439 | 3500 | 0.1473 | 0.6229 |
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| 0.0925 | 4.1645 | 4000 | 0.1552 | 0.6448 |
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| 0.0767 | 4.6851 | 4500 | 0.1523 | 0.6229 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Aug31_00-01-29_0a74a24eb20a/events.out.tfevents.1725062522.0a74a24eb20a.7627.0
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