---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-stock-news-2
  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-stock-news-2

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8004
- Rouge1: 44.167
- Rouge2: 36.0987
- Rougel: 42.3071
- Rougelsum: 42.7469

## 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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.9333        | 1.0   | 567  | 0.8685          | 43.2839 | 35.0416 | 41.431  | 41.724    |
| 0.8108        | 2.0   | 1134 | 0.8320          | 43.8366 | 35.6114 | 42.0042 | 42.3429   |
| 0.7762        | 3.0   | 1701 | 0.8183          | 43.6494 | 35.4373 | 41.755  | 42.1571   |
| 0.7487        | 4.0   | 2268 | 0.8084          | 43.8891 | 35.6917 | 41.9799 | 42.3663   |
| 0.7289        | 5.0   | 2835 | 0.8036          | 43.7749 | 35.5598 | 41.851  | 42.2422   |
| 0.7166        | 6.0   | 3402 | 0.8018          | 44.1163 | 36.0261 | 42.335  | 42.6929   |
| 0.7014        | 7.0   | 3969 | 0.8015          | 44.0648 | 35.8877 | 42.1801 | 42.6115   |
| 0.7119        | 8.0   | 4536 | 0.8004          | 44.167  | 36.0987 | 42.3071 | 42.7469   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1