---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/mt0-base
model-index:
- name: mt0-base_lora_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_lora_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: 0.0002

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5596        | 1.0   | 157  | 0.2422          |
| 0.2051        | 2.0   | 314  | 0.0247          |
| 0.0709        | 3.0   | 471  | 0.0035          |
| 0.0284        | 4.0   | 628  | 0.0020          |
| 0.023         | 5.0   | 785  | 0.0016          |
| 0.0157        | 6.0   | 942  | 0.0013          |
| 0.0187        | 7.0   | 1099 | 0.0008          |
| 0.0147        | 8.0   | 1256 | 0.0006          |
| 0.0138        | 9.0   | 1413 | 0.0005          |
| 0.0161        | 10.0  | 1570 | 0.0004          |
| 0.0074        | 11.0  | 1727 | 0.0004          |
| 0.0121        | 12.0  | 1884 | 0.0002          |
| 0.0063        | 13.0  | 2041 | 0.0002          |
| 0.0072        | 14.0  | 2198 | 0.0002          |
| 0.0069        | 15.0  | 2355 | 0.0002          |
| 0.0056        | 16.0  | 2512 | 0.0002          |
| 0.0112        | 17.0  | 2669 | 0.0002          |
| 0.008         | 18.0  | 2826 | 0.0002          |
| 0.0091        | 19.0  | 2983 | 0.0002          |
| 0.0065        | 20.0  | 3140 | 0.0002          |


### Framework versions

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