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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: my_awesome_asr_mind_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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# my_awesome_asr_mind_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: 8.1710 |
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- Wer: 1.0 |
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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: 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: 2 |
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- training_steps: 50 |
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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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| 58.3347 | 1.0 | 5 | 30.3906 | 1.2065 | |
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| 49.6382 | 2.0 | 10 | 30.3906 | 1.2065 | |
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| 47.2021 | 3.0 | 15 | 26.6334 | 1.0109 | |
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| 28.9906 | 4.0 | 20 | 22.2268 | 1.0 | |
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| 28.247 | 5.0 | 25 | 18.9242 | 1.0 | |
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| 27.9882 | 6.0 | 30 | 15.4867 | 1.0 | |
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| 22.125 | 7.0 | 35 | 12.5733 | 1.0 | |
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| 18.5329 | 8.0 | 40 | 10.6346 | 1.0 | |
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| 14.7859 | 9.0 | 45 | 9.1798 | 1.0 | |
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| 14.7127 | 10.0 | 50 | 8.1710 | 1.0 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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