---
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: 0.1872

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7586        | 0.25  | 100  | 0.4346          |
| 0.3151        | 0.51  | 200  | 0.2401          |
| 0.2789        | 0.76  | 300  | 0.2173          |
| 0.2415        | 1.02  | 400  | 0.2048          |
| 0.166         | 1.27  | 500  | 0.2021          |
| 0.161         | 1.52  | 600  | 0.1979          |
| 0.1653        | 1.78  | 700  | 0.1931          |
| 0.1508        | 2.03  | 800  | 0.1921          |
| 0.1107        | 2.28  | 900  | 0.1894          |
| 0.0961        | 2.54  | 1000 | 0.1905          |
| 0.1185        | 2.79  | 1100 | 0.1871          |
| 0.1032        | 3.05  | 1200 | 0.1881          |
| 0.0788        | 3.3   | 1300 | 0.1881          |
| 0.0765        | 3.55  | 1400 | 0.1876          |
| 0.0816        | 3.81  | 1500 | 0.1872          |


### Framework versions

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