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

# meeting_summarizer_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: 1.5064
- Rouge1: 0.3963
- Rouge2: 0.3304
- Rougel: 0.3861
- Rougelsum: 0.3867
- Gen Len: 19.9095

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use 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 | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.1629        | 1.0   | 5169  | 1.8665          | 0.3882 | 0.3076 | 0.3709 | 0.3718    | 19.8167 |
| 1.9476        | 2.0   | 10338 | 1.7073          | 0.3888 | 0.3163 | 0.3753 | 0.3757    | 19.9072 |
| 1.8624        | 3.0   | 15507 | 1.6218          | 0.3918 | 0.323  | 0.3794 | 0.3801    | 19.8991 |
| 1.7311        | 4.0   | 20676 | 1.5701          | 0.3916 | 0.3243 | 0.3797 | 0.3805    | 19.9118 |
| 1.7555        | 5.0   | 25845 | 1.5450          | 0.3944 | 0.3288 | 0.3833 | 0.384     | 19.9026 |
| 1.697         | 6.0   | 31014 | 1.5216          | 0.3945 | 0.3283 | 0.3839 | 0.3847    | 19.9072 |
| 1.6965        | 7.0   | 36183 | 1.5090          | 0.3951 | 0.3293 | 0.3846 | 0.3853    | 19.9037 |
| 1.6344        | 8.0   | 41352 | 1.5064          | 0.3963 | 0.3304 | 0.3861 | 0.3867    | 19.9095 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0