---
license: apache-2.0
base_model: bigscience/mt0-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt-0-small-multilanguage-query-extraction
  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. -->

# mt-0-small-multilanguage-query-extraction

This model is a fine-tuned version of [bigscience/mt0-small](https://huggingface.co/bigscience/mt0-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0037
- Rouge1: 90.139
- Rouge2: 88.3647
- Rougel: 90.1385
- Rougelsum: 90.1396
- Gen Len: 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0046        | 1.0   | 17500 | 0.0040          | 90.1388 | 88.3642 | 90.1382 | 90.1395   | 19.0    |
| 0.0041        | 2.0   | 35000 | 0.0038          | 90.139  | 88.3647 | 90.1385 | 90.1396   | 19.0    |
| 0.0039        | 3.0   | 52500 | 0.0037          | 90.139  | 88.3647 | 90.1385 | 90.1396   | 19.0    |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1