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--- |
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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: CS337_finetune_wav2vec_base |
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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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# CS337_finetune_wav2vec_base |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9254 |
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- Accuracy: 0.6485 |
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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: 0.0005 |
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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: 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: 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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| 1.2727 | 0.97 | 28 | 1.2536 | 0.5520 | |
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| 1.2855 | 1.98 | 57 | 1.1553 | 0.5520 | |
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| 1.2834 | 2.99 | 86 | 1.1334 | 0.5305 | |
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| 1.127 | 4.0 | 115 | 0.9970 | 0.5799 | |
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| 1.1262 | 4.97 | 143 | 0.9905 | 0.6168 | |
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| 1.2568 | 5.98 | 172 | 0.9853 | 0.6155 | |
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| 1.1343 | 6.99 | 201 | 0.9947 | 0.6218 | |
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| 1.0321 | 8.0 | 230 | 0.9495 | 0.6294 | |
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| 1.0019 | 8.97 | 258 | 0.9227 | 0.6548 | |
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| 0.9676 | 9.74 | 280 | 0.9254 | 0.6485 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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