---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: meeting_summarizer_model
  results: []
datasets:
- huuuyeah/meetingbank
language:
- en
---

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

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the dataset "huuuyeah/meetingbank".
It achieves the following results on the evaluation set:
- Loss: 2.3916
- Rouge1: 0.3517
- Rouge2: 0.2684
- Rougel: 0.3353
- Rougelsum: 0.3363
- Gen Len: 18.7564

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 324  | 2.9030          | 0.2906 | 0.1982 | 0.2662 | 0.2663    | 18.9687 |
| 5.7333        | 2.0   | 648  | 2.5094          | 0.3313 | 0.2456 | 0.3132 | 0.3138    | 18.7506 |
| 5.7333        | 3.0   | 972  | 2.4188          | 0.3514 | 0.2673 | 0.3345 | 0.335     | 18.7749 |
| 3.9805        | 4.0   | 1296 | 2.3916          | 0.3517 | 0.2684 | 0.3353 | 0.3363    | 18.7564 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2