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--- |
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license: apache-2.0 |
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base_model: t5-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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- bleu |
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model-index: |
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- name: Fine_Tuned_T5_small_for_DailyDialog |
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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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# Fine_Tuned_T5_small_for_DailyDialog |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5891 |
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- Rouge1: 11.0459 |
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- Rouge2: 2.2404 |
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- Rougel: 10.5072 |
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- Rougelsum: 10.7781 |
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- Bleu: 0.8903 |
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- Gen Len: 7.111 |
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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: 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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:-------:| |
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| 2.0809 | 1.0 | 313 | 1.7698 | 9.3634 | 1.6744 | 8.9437 | 9.0705 | 0.6728 | 8.217 | |
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| 1.4771 | 2.0 | 626 | 1.3016 | 10.1104 | 1.7728 | 9.6869 | 9.8809 | 0.0 | 6.527 | |
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| 1.2084 | 3.0 | 939 | 1.0781 | 10.3142 | 2.0722 | 9.8421 | 10.0426 | 0.7095 | 6.272 | |
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| 1.0171 | 4.0 | 1252 | 0.9219 | 10.299 | 2.107 | 9.8825 | 10.1102 | 0.7598 | 6.246 | |
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| 0.9029 | 5.0 | 1565 | 0.7993 | 10.5767 | 2.0701 | 10.0645 | 10.3152 | 0.88 | 6.94 | |
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| 0.7979 | 6.0 | 1878 | 0.7169 | 10.618 | 2.0406 | 10.0889 | 10.3652 | 0.9014 | 7.047 | |
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| 0.7266 | 7.0 | 2191 | 0.6627 | 10.8584 | 2.1613 | 10.292 | 10.575 | 0.8766 | 6.769 | |
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| 0.692 | 8.0 | 2504 | 0.6231 | 11.2891 | 2.2669 | 10.7278 | 11.0423 | 0.9933 | 7.273 | |
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| 0.6724 | 9.0 | 2817 | 0.5956 | 11.2029 | 2.2399 | 10.6659 | 10.9419 | 0.9988 | 7.512 | |
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| 0.65 | 10.0 | 3130 | 0.5891 | 11.0459 | 2.2404 | 10.5072 | 10.7781 | 0.8903 | 7.111 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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