chasedreaminf
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End of training
Browse files- README.md +2 -14
- model.safetensors +1 -1
- training_args.bin +2 -2
README.md
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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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# 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: 2.9544
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- Wer: 1.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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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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- training_steps: 2000
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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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| 2.8871 | 200.0 | 1000 | 2.9754 | 1.0 |
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| 2.8643 | 400.0 | 2000 | 2.9544 | 1.0 |
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### Framework versions
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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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model-index:
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- name: my_awesome_asr_mind_model
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results: []
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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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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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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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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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model.safetensors
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training_args.bin
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