transformers tensorboard safetensors mt5 text2text-generation summarization generated_from_trainer base_model:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-billsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-finetuned-billsum

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1086
- Rouge1: 72.606
- Rouge2: 64.3705
- Rougel: 71.2857
- Rougelsum: 71.3956

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.4879        | 1.0   | 124  | 1.3033          | 71.4229 | 61.8019 | 70.0374 | 70.1665   |
| 1.4816        | 2.0   | 248  | 1.2268          | 73.2518 | 64.6915 | 71.8575 | 71.9894   |
| 1.3856        | 3.0   | 372  | 1.1861          | 73.1259 | 64.7309 | 71.7198 | 71.812    |
| 1.2986        | 4.0   | 496  | 1.1576          | 71.8392 | 63.7365 | 70.6684 | 70.7165   |
| 1.2637        | 5.0   | 620  | 1.1425          | 72.5544 | 64.3521 | 71.1831 | 71.3131   |
| 1.2161        | 6.0   | 744  | 1.1173          | 71.9681 | 63.8108 | 70.749  | 70.8831   |
| 1.1976        | 7.0   | 868  | 1.1116          | 72.6794 | 64.6099 | 71.4453 | 71.5871   |
| 1.2013        | 8.0   | 992  | 1.1086          | 72.606  | 64.3705 | 71.2857 | 71.3956   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
