End of training
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README.md
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---
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library_name: peft
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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: summarizer_model_t5_small
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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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# summarizer_model_t5_small
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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: 1.5198
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- Rouge1: 0.2101
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- Rouge2: 0.1174
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- Rougel: 0.176
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- Rougelsum: 0.176
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- Gen Len: 19.9959
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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: 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: 2
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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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| 1.7611 | 1.0 | 8899 | 1.5377 | 0.2101 | 0.1166 | 0.1759 | 0.1759 | 19.9954 |
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| 1.7311 | 2.0 | 17798 | 1.5198 | 0.2101 | 0.1174 | 0.176 | 0.176 | 19.9959 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.51.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.0
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