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---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_summary_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_summary_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5444
- Rouge1: 0.1532
- Rouge2: 0.0578
- Rougel: 0.1231
- Rougelsum: 0.123
- Gen Len: 20.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.0731 | 1.0 | 62 | 2.8375 | 0.1345 | 0.0423 | 0.1096 | 0.1097 | 20.0 |
| 2.8188 | 2.0 | 124 | 2.6217 | 0.1471 | 0.0581 | 0.12 | 0.1199 | 20.0 |
| 2.6439 | 3.0 | 186 | 2.5591 | 0.1526 | 0.0598 | 0.1233 | 0.123 | 20.0 |
| 2.845 | 4.0 | 248 | 2.5444 | 0.1532 | 0.0578 | 0.1231 | 0.123 | 20.0 |
### Framework versions
- Transformers 4.54.1
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
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