---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: sathwik_reddy_t5_summary
  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. -->

# sathwik_reddy_t5_summary

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4258
- Rouge1: 0.3185
- Rouge2: 0.1246
- Rougel: 0.2850
- Rougelsum: 0.2855

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.1533        | 1.0   | 440  | 2.5586          | 0.2832 | 0.1122 | 0.2578 | 0.2589    |
| 3.0151        | 2.0   | 880  | 2.5020          | 0.2943 | 0.1113 | 0.2626 | 0.2635    |
| 2.9157        | 3.0   | 1320 | 2.4919          | 0.3029 | 0.1158 | 0.2710 | 0.2716    |
| 2.8355        | 4.0   | 1760 | 2.4670          | 0.3043 | 0.1163 | 0.2749 | 0.2753    |
| 2.7702        | 5.0   | 2200 | 2.4386          | 0.3143 | 0.1220 | 0.2826 | 0.2834    |
| 2.7169        | 6.0   | 2640 | 2.4322          | 0.3120 | 0.1202 | 0.2805 | 0.2807    |
| 2.6884        | 7.0   | 3080 | 2.4255          | 0.3154 | 0.1222 | 0.2834 | 0.2839    |
| 2.6671        | 8.0   | 3520 | 2.4258          | 0.3185 | 0.1246 | 0.2850 | 0.2855    |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0