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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: experiment |
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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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# experiment |
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This model is a fine-tuned version of [](https://huggingface.co/) on the fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.9853 |
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- Cer: 0.9675 |
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- Wer: 1.0 |
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- Mer: 1.0 |
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- Wil: 1.0 |
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- Wip: 0.0 |
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- Hits: 0 |
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- Substitutions: 2 |
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- Deletions: 29 |
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- Insertions: 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: 1 |
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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 | Cer | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---:|:---:|:---:|:---:|:----:|:-------------:|:---------:|:----------:| |
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| 8.1125 | 0.0 | 4 | 8.0293 | 1.0 | 1.0 | 1.0 | 1 | 0 | 0 | 0 | 31 | 0 | |
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| 8.0111 | 0.01 | 8 | 7.9853 | 0.9675 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 2 | 29 | 0 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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