Model save
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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-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: FL_Legislature_Summarizer
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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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# FL_Legislature_Summarizer
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3128
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- Rouge1: 0.6498
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- Rouge2: 0.6141
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- Rougel: 0.6438
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- Rougelsum: 0.644
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- Gen Len: 19.5408
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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: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 3
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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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| 0.4196 | 1.0 | 2095 | 0.3458 | 0.6444 | 0.6051 | 0.6381 | 0.6382 | 19.5489 |
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| 0.2907 | 2.0 | 4190 | 0.3141 | 0.6498 | 0.6124 | 0.6437 | 0.644 | 19.5403 |
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| 0.2901 | 3.0 | 6285 | 0.3128 | 0.6498 | 0.6141 | 0.6438 | 0.644 | 19.5408 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.9.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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runs/Nov23_17-11-13_ae9226c204c6/events.out.tfevents.1763917898.ae9226c204c6.4495.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4eb7abfcc87895436a735fa49e6de15bcd712cf88a6588ea374c835e8c3ceed
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size 10518
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