3funnn/wav2vec2-base-librispeech
Browse files- README.md +11 -8
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README.md
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metrics:
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- name: Wer
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type: wer
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value: 0.
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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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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the librispeech_asr_dummy dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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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: 1000
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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### Framework versions
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metrics:
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- name: Wer
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type: wer
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value: 0.4069767441860465
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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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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the librispeech_asr_dummy dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9548
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- Wer: 0.4070
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## Model description
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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: 1000
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- num_epochs: 150
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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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| 4.4865 | 29.41 | 500 | 3.5010 | 1.0 |
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| 1.112 | 58.82 | 1000 | 1.0382 | 0.4767 |
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| 0.111 | 88.24 | 1500 | 0.9833 | 0.5116 |
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| 0.0438 | 117.65 | 2000 | 0.9302 | 0.4302 |
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| 0.0241 | 147.06 | 2500 | 0.9548 | 0.4070 |
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### Framework versions
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model.safetensors
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training_args.bin
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