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--- |
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library_name: transformers |
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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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- summarization |
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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: ADL_HW2_MT5 |
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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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# ADL_HW2_MT5 |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5085 |
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- Rouge1: 13.6234 |
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- Rouge2: 4.8107 |
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- Rougel: 13.4828 |
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- Rougelsum: 13.4694 |
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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: 5.6e-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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 6.652 | 1.0 | 340 | 3.9727 | 10.0329 | 3.8308 | 9.954 | 9.9802 | |
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| 4.5708 | 2.0 | 680 | 3.7827 | 11.1164 | 4.1328 | 11.0046 | 11.0159 | |
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| 4.3069 | 3.0 | 1020 | 3.6472 | 12.405 | 4.4789 | 12.2766 | 12.308 | |
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| 4.1563 | 4.0 | 1360 | 3.5830 | 12.6726 | 4.5588 | 12.5504 | 12.5738 | |
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| 4.0715 | 5.0 | 1700 | 3.5509 | 12.6934 | 4.7831 | 12.5682 | 12.5705 | |
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| 4.0094 | 6.0 | 2040 | 3.5241 | 13.3107 | 4.8201 | 13.198 | 13.2002 | |
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| 3.9728 | 7.0 | 2380 | 3.5153 | 13.3888 | 4.7922 | 13.2839 | 13.2947 | |
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| 3.9505 | 8.0 | 2720 | 3.5085 | 13.6234 | 4.8107 | 13.4828 | 13.4694 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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