End of training
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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
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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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model-index:
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- name: Wav2Vec2_Finetuned
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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
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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: 0.9886
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- Accuracy: 0.7247
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 2.1066 | 0.9863 | 54 | 2.0550 | 0.3211 |
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| 1.7945 | 1.9817 | 108 | 1.8463 | 0.3858 |
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| 1.5042 | 2.9772 | 162 | 1.6106 | 0.4911 |
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| 1.3307 | 3.9909 | 217 | 1.3656 | 0.6199 |
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| 1.1295 | 4.9863 | 271 | 1.2506 | 0.6417 |
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| 1.0127 | 5.9817 | 325 | 1.2754 | 0.6211 |
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| 0.949 | 6.9772 | 379 | 1.0925 | 0.7041 |
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| 0.8618 | 7.9909 | 434 | 1.0693 | 0.7052 |
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| 0.7838 | 8.9863 | 488 | 1.0308 | 0.7138 |
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| 0.7813 | 9.9452 | 540 | 0.9886 | 0.7247 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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