---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: meetingbank_qa_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_qa_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: 3.1261
- Rouge1: 0.1858
- Rouge2: 0.0911
- Rougel: 0.1573
- Rougelsum: 0.1571
- Generated Length: 19.0

## 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: 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   | 3.1657          | 0.1818 | 0.0886 | 0.1533 | 0.1532    | 19.0             |
| No log        | 2.0   | 108  | 3.1351          | 0.1847 | 0.0909 | 0.1562 | 0.1561    | 19.0             |
| No log        | 3.0   | 162  | 3.1261          | 0.1858 | 0.0911 | 0.1573 | 0.1571    | 19.0             |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1