---
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
model-index:
- name: mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant
  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. -->

# mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant

This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5715

## 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: 3e-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
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 18   | 0.6943          |
| No log        | 2.0   | 36   | 0.6172          |
| No log        | 3.0   | 54   | 0.5725          |
| No log        | 4.0   | 72   | 0.5771          |
| No log        | 5.0   | 90   | 0.5727          |
| No log        | 6.0   | 108  | 0.5631          |
| No log        | 7.0   | 126  | 0.5628          |
| No log        | 8.0   | 144  | 0.5676          |
| No log        | 9.0   | 162  | 0.5703          |
| No log        | 10.0  | 180  | 0.5715          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1