---
library_name: peft
license: apache-2.0
base_model: bigscience/mt0-large
tags:
- base_model:adapter:bigscience/mt0-large
- lora
- transformers
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [bigscience/mt0-large](https://huggingface.co/bigscience/mt0-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9606

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3121        | 1.0   | 638  | 1.1311          |
| 1.1313        | 2.0   | 1276 | 1.0387          |
| 1.1919        | 3.0   | 1914 | 1.0036          |
| 1.1422        | 4.0   | 2552 | 0.9848          |
| 1.0812        | 5.0   | 3190 | 0.9746          |
| 1.207         | 6.0   | 3828 | 0.9681          |
| 1.1055        | 7.0   | 4466 | 0.9631          |
| 1.2116        | 8.0   | 5104 | 0.9618          |
| 1.1455        | 9.0   | 5742 | 0.9607          |
| 0.9016        | 10.0  | 6380 | 0.9606          |


### Framework versions

- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2