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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: google-t5/t5-small |
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metrics: |
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- rouge |
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model-index: |
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- name: summarization_fine_tune_peft |
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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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# summarization_fine_tune_peft |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.7075 |
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- Rouge1: 0.1357 |
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- Rouge2: 0.045 |
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- Rougel: 0.1149 |
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- Rougelsum: 0.1149 |
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- Gen Len: 19.0 |
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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: 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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| No log | 1.0 | 62 | 4.7640 | 0.1417 | 0.0501 | 0.1206 | 0.1207 | 19.0 | |
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| No log | 2.0 | 124 | 4.1242 | 0.1408 | 0.0486 | 0.1194 | 0.1193 | 19.0 | |
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| No log | 3.0 | 186 | 3.8060 | 0.136 | 0.0462 | 0.1155 | 0.1155 | 19.0 | |
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| No log | 4.0 | 248 | 3.7075 | 0.1357 | 0.045 | 0.1149 | 0.1149 | 19.0 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
