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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-base-960h
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-finetuned-til
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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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# wav2vec2-finetuned-til
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 40297.4414
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- eval_wer: 1.0382
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- eval_runtime: 64.3538
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- eval_samples_per_second: 6.993
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- eval_steps_per_second: 1.165
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- epoch: 3.7467
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- step: 630
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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: 6
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- eval_batch_size: 6
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 24
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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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- num_epochs: 6
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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