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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xsum
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. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0804
- Rouge1: 21.7575
- Rouge2: 8.5919
- Rougel: 17.3288
- Rougelsum: 20.4481
- Gen Len: 18.8222
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 45 | 2.3869 | 21.4625 | 7.7924 | 16.4408 | 19.7799 | 18.7667 |
| No log | 2.0 | 90 | 2.3161 | 22.2793 | 8.0559 | 17.0177 | 20.6462 | 18.8444 |
| No log | 3.0 | 135 | 2.2576 | 21.9986 | 7.8751 | 16.7895 | 20.2286 | 18.6778 |
| No log | 4.0 | 180 | 2.2061 | 21.9707 | 8.2401 | 16.9102 | 20.2145 | 18.6333 |
| No log | 5.0 | 225 | 2.1667 | 22.1615 | 8.3056 | 17.0849 | 20.48 | 18.8222 |
| No log | 6.0 | 270 | 2.1350 | 21.942 | 8.5934 | 17.2273 | 20.4631 | 18.7444 |
| No log | 7.0 | 315 | 2.1102 | 21.8541 | 8.664 | 17.2851 | 20.4798 | 18.7444 |
| No log | 8.0 | 360 | 2.0939 | 21.967 | 8.675 | 17.4126 | 20.5475 | 18.8222 |
| No log | 9.0 | 405 | 2.0841 | 21.824 | 8.6682 | 17.3674 | 20.4822 | 18.8222 |
| No log | 10.0 | 450 | 2.0804 | 21.7575 | 8.5919 | 17.3288 | 20.4481 | 18.8222 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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