---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: meetingbank_summary_model_finetuned_on_reduced_data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# meetingbank_summary_model_finetuned_on_reduced_data

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: 3.3836
- Rouge1: 0.1699
- Rouge2: 0.0873
- Rougel: 0.1462
- Rougelsum: 0.1463
- Generated Length: 18.9954

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
| No log        | 1.0   | 54   | 3.5593          | 0.165  | 0.0858 | 0.1408 | 0.1409    | 18.971           |
| No log        | 2.0   | 108  | 3.4167          | 0.1678 | 0.0868 | 0.1442 | 0.1443    | 18.9954          |
| No log        | 3.0   | 162  | 3.3836          | 0.1699 | 0.0873 | 0.1462 | 0.1463    | 18.9954          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1