---
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
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 [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1653

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8064        | 0.2   | 100  | 0.4321          |
| 0.3145        | 0.41  | 200  | 0.2218          |
| 0.2633        | 0.61  | 300  | 0.1970          |
| 0.2428        | 0.81  | 400  | 0.1871          |
| 0.2162        | 1.02  | 500  | 0.1786          |
| 0.163         | 1.22  | 600  | 0.1744          |
| 0.1515        | 1.42  | 700  | 0.1713          |
| 0.1423        | 1.63  | 800  | 0.1696          |
| 0.1439        | 1.83  | 900  | 0.1660          |
| 0.1484        | 2.03  | 1000 | 0.1653          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2