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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: 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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model-index: |
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- name: summarize_model |
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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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# summarize_model |
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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: 1.7638 |
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- Rouge1: 0.2453 |
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- Rouge2: 0.1053 |
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- Rougel: 0.1992 |
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- Rougelsum: 0.1988 |
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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: 3e-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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| No log | 1.0 | 100 | 1.8301 | 0.2376 | 0.0971 | 0.1916 | 0.1915 | 19.0 | |
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| No log | 2.0 | 200 | 1.7931 | 0.2424 | 0.0991 | 0.1954 | 0.1953 | 19.0 | |
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| No log | 3.0 | 300 | 1.7741 | 0.241 | 0.1015 | 0.1954 | 0.1952 | 19.0 | |
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| No log | 4.0 | 400 | 1.7658 | 0.244 | 0.105 | 0.1986 | 0.1983 | 19.0 | |
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| 2.0548 | 5.0 | 500 | 1.7638 | 0.2453 | 0.1053 | 0.1992 | 0.1988 | 19.0 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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