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README.md
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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: 7.9395
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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: 0.0001
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- train_batch_size: 2
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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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- training_steps: 10
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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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| No log | 0.17 | 2 | 9.0543 | 1.0 |
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| No log | 0.33 | 4 | 8.9431 | 1.0 |
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| No log | 0.5 | 6 | 9.4171 | 1.0 |
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| No log | 0.67 | 8 | 8.0264 | 1.0 |
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| No log | 0.83 | 10 | 7.9395 | 1.0 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cpu
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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