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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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- wer |
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model-index: |
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- name: asr_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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# asr_model |
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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: 0.2363 |
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- Wer: 0.5153 |
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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: 500 |
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- num_epochs: 30 |
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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 | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.4621 | 2.0 | 1000 | 0.4702 | 0.9741 | |
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| 0.4612 | 4.0 | 2000 | 0.4621 | 0.9741 | |
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| 0.4458 | 6.0 | 3000 | 0.4464 | 0.9714 | |
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| 0.384 | 8.0 | 4000 | 0.3853 | 0.8235 | |
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| 0.3065 | 10.0 | 5000 | 0.3166 | 0.7829 | |
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| 0.2861 | 12.0 | 6000 | 0.2809 | 0.6802 | |
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| 0.248 | 14.0 | 7000 | 0.2677 | 0.6051 | |
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| 0.2449 | 16.0 | 8000 | 0.2541 | 0.5778 | |
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| 0.2298 | 18.0 | 9000 | 0.2480 | 0.5710 | |
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| 0.2281 | 20.0 | 10000 | 0.2418 | 0.5505 | |
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| 0.216 | 22.0 | 11000 | 0.2420 | 0.5340 | |
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| 0.2083 | 24.0 | 12000 | 0.2380 | 0.5253 | |
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| 0.1957 | 26.0 | 13000 | 0.2380 | 0.5209 | |
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| 0.1985 | 28.0 | 14000 | 0.2360 | 0.5181 | |
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| 0.2078 | 30.0 | 15000 | 0.2363 | 0.5153 | |
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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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