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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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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: wav2vec2-fluency-checkpoints |
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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-fluency-checkpoints |
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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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- Loss: 1.6840 |
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- Accuracy: 0.24 |
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- F1: 0.0484 |
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- Qwk: 0.0 |
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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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- optimizer: Use OptimizerNames.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_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Qwk | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---:| |
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| 1.9027 | 1.0 | 149 | 1.5752 | 0.3919 | 0.0804 | 0.0 | |
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| 1.5771 | 2.0 | 298 | 1.5067 | 0.3919 | 0.0804 | 0.0 | |
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| 1.8437 | 3.0 | 447 | 1.5069 | 0.3919 | 0.0804 | 0.0 | |
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| 1.5636 | 4.0 | 596 | 1.5043 | 0.3919 | 0.0804 | 0.0 | |
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| 1.7911 | 5.0 | 745 | 1.5095 | 0.3919 | 0.0804 | 0.0 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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