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--- |
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base_model: facebook/wav2vec2-large |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-large-sw-cv-100hr-v3 |
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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-large-sw-cv-100hr-v3 |
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This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8721 |
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- Model Preparation Time: 0.0042 |
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- Wer: 0.9997 |
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- Cer: 0.9176 |
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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: 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_ratio: 0.1 |
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- num_epochs: 120 |
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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 | Model Preparation Time | Wer | Cer | |
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|:-------------:|:-------:|:-----:|:---------------:|:----------------------:|:------:|:------:| |
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| 4.0159 | 0.9998 | 2079 | 2.7894 | 0.0042 | 0.9999 | 0.9048 | |
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| 2.8122 | 2.0 | 4159 | 2.8360 | 0.0042 | 1.0 | 1.0 | |
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| 2.8312 | 2.9998 | 6238 | 2.8331 | 0.0042 | 1.0 | 1.0 | |
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| 2.8295 | 4.0 | 8318 | 2.8340 | 0.0042 | 1.0 | 1.0 | |
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| 2.8306 | 4.9998 | 10397 | 2.8309 | 0.0042 | 1.0 | 1.0 | |
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| 2.8301 | 6.0 | 12477 | 2.8451 | 0.0042 | 1.0 | 1.0 | |
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| 2.8305 | 6.9998 | 14556 | 2.8320 | 0.0042 | 1.0 | 1.0 | |
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| 2.8547 | 8.0 | 16636 | 2.8626 | 0.0042 | 1.0 | 1.0 | |
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| 2.8611 | 8.9998 | 18715 | 2.8569 | 0.0042 | 1.0 | 1.0 | |
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| 2.8596 | 10.0 | 20795 | 2.8573 | 0.0042 | 1.0 | 1.0 | |
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| 2.861 | 10.9998 | 22874 | 2.8570 | 0.0042 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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