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README.md
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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/flan-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: practica8-summarization-es
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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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# practica8-summarization-es
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.3185
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- Rouge1: 7.3869
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- Rouge2: 1.2398
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- Rougel: 7.1475
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- Rougelsum: 6.9968
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- Gen Len: 19.99
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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### 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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| 9.2319 | 1.0 | 88 | 8.5049 | 10.1491 | 2.2554 | 9.1024 | 9.185 | 19.8 |
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| 8.6670 | 2.0 | 176 | 8.3416 | 7.8367 | 2.0635 | 7.7098 | 7.7159 | 20.0 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cpu
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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