---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/mt0-base
model-index:
- name: mt0-base_IA3_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_IA3_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: 0.0587

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5794        | 1.0   | 157  | 0.3078          |
| 0.5388        | 2.0   | 314  | 0.2805          |
| 0.5028        | 3.0   | 471  | 0.2418          |
| 0.4281        | 4.0   | 628  | 0.2026          |
| 0.3694        | 5.0   | 785  | 0.1730          |
| 0.3233        | 6.0   | 942  | 0.1490          |
| 0.295         | 7.0   | 1099 | 0.1303          |
| 0.2743        | 8.0   | 1256 | 0.1150          |
| 0.2312        | 9.0   | 1413 | 0.1027          |
| 0.2173        | 10.0  | 1570 | 0.0931          |
| 0.1977        | 11.0  | 1727 | 0.0853          |
| 0.189         | 12.0  | 1884 | 0.0790          |
| 0.1668        | 13.0  | 2041 | 0.0738          |
| 0.1703        | 14.0  | 2198 | 0.0695          |
| 0.1624        | 15.0  | 2355 | 0.0660          |
| 0.1532        | 16.0  | 2512 | 0.0632          |
| 0.1448        | 17.0  | 2669 | 0.0612          |
| 0.1487        | 18.0  | 2826 | 0.0598          |
| 0.1517        | 19.0  | 2983 | 0.0590          |
| 0.1418        | 20.0  | 3140 | 0.0587          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0