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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: working |
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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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# working |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1953 |
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- Rouge1: 0.0416 |
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- Rouge2: 0.0103 |
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- Rougel: 0.0411 |
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- Rougelsum: 0.0412 |
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- Gen Len: 13.6933 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 9.9902 | 1.0 | 938 | 3.5849 | 0.0198 | 0.0053 | 0.0196 | 0.0197 | 11.0792 | |
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| 4.5579 | 2.0 | 1876 | 3.2813 | 0.024 | 0.0067 | 0.0239 | 0.024 | 12.9491 | |
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| 4.2559 | 3.0 | 2814 | 3.2169 | 0.0396 | 0.0093 | 0.0391 | 0.0393 | 13.7149 | |
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| 4.1769 | 4.0 | 3752 | 3.1953 | 0.0416 | 0.0103 | 0.0411 | 0.0412 | 13.6933 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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