| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: google-t5/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: summary-generator
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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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|
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| # summary-generator
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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: 1.6233
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| - Rouge1: 0.2385
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| - Rouge2: 0.1893
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| - Rougel: 0.2291
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| - Rougelsum: 0.2291
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| - Gen Len: 18.9979
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|
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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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|
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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: 32
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| - eval_batch_size: 32
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| - seed: 42
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| - optimizer: Use OptimizerNames.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: 4
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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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| | 2.2692 | 1.0 | 593 | 1.7477 | 0.2295 | 0.1793 | 0.2195 | 0.2195 | 19.0012 |
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| | 1.9395 | 2.0 | 1186 | 1.6635 | 0.2351 | 0.1859 | 0.2251 | 0.2251 | 18.9979 |
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| | 1.8828 | 3.0 | 1779 | 1.6317 | 0.2376 | 0.1883 | 0.228 | 0.228 | 18.9979 |
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| | 1.8478 | 4.0 | 2372 | 1.6233 | 0.2385 | 0.1893 | 0.2291 | 0.2291 | 18.9979 |
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| ### Framework versions
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| - Transformers 5.8.1
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| - Pytorch 2.5.1
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| - Datasets 4.8.5
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| - Tokenizers 0.22.2
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|
