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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: eng_Emp_reco |
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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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# eng_Emp_reco |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0001 |
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- Accuracy: {'accuracy': 1.0} |
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- F1score: {'f1': 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: 5e-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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- 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: 10 |
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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 | Accuracy | F1score | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------------:|:--------------------------:| |
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| 0.0254 | 1.0 | 320 | 0.0106 | {'accuracy': 0.9984375} | {'f1': 0.9984376713627683} | |
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| 0.002 | 2.0 | 640 | 0.0013 | {'accuracy': 1.0} | {'f1': 1.0} | |
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| 0.0019 | 3.0 | 960 | 0.0006 | {'accuracy': 1.0} | {'f1': 1.0} | |
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| 0.0019 | 4.0 | 1280 | 0.0004 | {'accuracy': 1.0} | {'f1': 1.0} | |
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| 0.0003 | 5.0 | 1600 | 0.0063 | {'accuracy': 0.9984375} | {'f1': 0.9984376713627683} | |
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| 0.0003 | 6.0 | 1920 | 0.0002 | {'accuracy': 1.0} | {'f1': 1.0} | |
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| 0.0003 | 7.0 | 2240 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} | |
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| 0.0002 | 8.0 | 2560 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} | |
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| 0.0002 | 9.0 | 2880 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} | |
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| 0.0002 | 10.0 | 3200 | 0.0001 | {'accuracy': 1.0} | {'f1': 1.0} | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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