---
license: apache-2.0
base_model: bigscience/mt0-base
tags:
- generated_from_trainer
model-index:
- name: mt0-base_fine_lr5e-05_bs4_epoch20_wd0.01
  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. -->

# mt0-base_fine_lr5e-05_bs4_epoch20_wd0.01

This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/bigscience/mt0-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3613        | 1.0   | 157  | 0.0044          |
| 0.0162        | 2.0   | 314  | 0.0006          |
| 0.0114        | 3.0   | 471  | 0.0003          |
| 0.0108        | 4.0   | 628  | 0.0001          |
| 0.0092        | 5.0   | 785  | 0.0001          |
| 0.0091        | 6.0   | 942  | 0.0001          |
| 0.0031        | 7.0   | 1099 | 0.0001          |
| 0.001         | 8.0   | 1256 | 0.0000          |
| 0.0112        | 9.0   | 1413 | 0.0007          |
| 0.0049        | 10.0  | 1570 | 0.0000          |
| 0.0008        | 11.0  | 1727 | 0.0000          |
| 0.005         | 12.0  | 1884 | 0.0000          |
| 0.0043        | 13.0  | 2041 | 0.0000          |
| 0.0005        | 14.0  | 2198 | 0.0000          |
| 0.0007        | 15.0  | 2355 | 0.0000          |
| 0.0059        | 16.0  | 2512 | 0.0000          |
| 0.0003        | 17.0  | 2669 | 0.0000          |
| 0.0005        | 18.0  | 2826 | 0.0000          |
| 0.0004        | 19.0  | 2983 | 0.0000          |
| 0.0028        | 20.0  | 3140 | 0.0000          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0