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--- |
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base_model: mika5883/Pretrained_ReCl8 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: RULEC_PUNCT |
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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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# RULEC_PUNCT |
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This model is a fine-tuned version of [mika5883/Pretrained_ReCl8](https://huggingface.co/mika5883/Pretrained_ReCl8) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2246 |
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- Bleu: 87.7841 |
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- Gen Len: 23.4204 |
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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: 3.83229e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 2 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 47 | 0.1715 | 90.2127 | 23.5376 | |
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| No log | 2.0 | 94 | 0.1579 | 90.6111 | 23.5388 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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