---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/mt0-large
model-index:
- name: mt0-large_lora_627_lr5e-05_bs4_epoch5_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-large_lora_627_lr5e-05_bs4_epoch5_wd0.01

This model is a fine-tuned version of [bigscience/mt0-large](https://huggingface.co./bigscience/mt0-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0015

## 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: 4
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5765        | 1.0   | 157  | 0.2644          |
| 0.1485        | 2.0   | 314  | 0.0381          |
| 0.0619        | 3.0   | 471  | 0.0112          |
| 0.0287        | 4.0   | 628  | 0.0017          |
| 0.0297        | 5.0   | 785  | 0.0015          |


### Framework versions

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