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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 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ASR_Germen_Wav2Vec2_Local_Train |
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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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# ASR_Germen_Wav2Vec2_Local_Train |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3619 |
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- Per: 0.1676 |
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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: 0.0001 |
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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: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 300 |
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- training_steps: 15000 |
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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 | Per | |
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|:-------------:|:------:|:-----:|:---------------:|:------:| |
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| 0.6277 | 0.1630 | 3000 | 0.5961 | 0.2501 | |
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| 0.445 | 0.3259 | 6000 | 0.4649 | 0.2070 | |
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| 0.3751 | 0.4889 | 9000 | 0.4084 | 0.1818 | |
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| 0.4281 | 0.6518 | 12000 | 0.3907 | 0.1792 | |
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| 0.3835 | 0.8148 | 15000 | 0.3619 | 0.1676 | |
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### Framework versions |
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- Transformers 4.57.0 |
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- Pytorch 2.9.0+cu130 |
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- Datasets 2.18.0 |
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- Tokenizers 0.22.1 |
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