---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: tmp_test
  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. -->

# tmp_test

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: 5.1439
- Rouge1: 0.1156
- Rouge2: 0.0333
- Rougel: 0.0888
- Rougelsum: 0.0888
- 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 5.3160          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 2.0   | 2    | 5.2821          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 3.0   | 3    | 5.2518          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 4.0   | 4    | 5.2250          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 5.0   | 5    | 5.2018          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 6.0   | 6    | 5.1822          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 7.0   | 7    | 5.1665          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 8.0   | 8    | 5.1553          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 9.0   | 9    | 5.1477          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |
| No log        | 10.0  | 10   | 5.1439          | 0.1156 | 0.0333 | 0.0888 | 0.0888    | 20.0    |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0