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--- |
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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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- wer |
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model-index: |
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- name: intit_model |
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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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# intit_model |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2486 |
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- Wer: 0.4348 |
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- Cer: 0.9047 |
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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: 1e-05 |
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- train_batch_size: 8 |
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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: 16 |
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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_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 0.9753 | 20.0 | 100 | 1.3804 | 0.5072 | 0.9054 | |
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| 0.5395 | 40.0 | 200 | 1.5495 | 0.4444 | 0.9062 | |
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| 0.3735 | 60.0 | 300 | 1.7729 | 0.4396 | 0.9056 | |
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| 0.2427 | 80.0 | 400 | 1.9016 | 0.4348 | 0.9063 | |
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| 0.2389 | 100.0 | 500 | 2.0569 | 0.4348 | 0.9061 | |
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| 0.1822 | 120.0 | 600 | 2.0684 | 0.4300 | 0.9050 | |
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| 0.1578 | 140.0 | 700 | 2.1332 | 0.4396 | 0.9049 | |
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| 0.1547 | 160.0 | 800 | 2.2138 | 0.4444 | 0.9047 | |
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| 0.1807 | 180.0 | 900 | 2.2467 | 0.4348 | 0.9047 | |
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| 0.1427 | 200.0 | 1000 | 2.2486 | 0.4348 | 0.9047 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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