---
base_model: facebook/m2m100_418M
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6583

## 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-06
- 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 63   | 4.2641          |
| No log        | 2.0   | 126  | 3.7198          |
| No log        | 3.0   | 189  | 3.3903          |
| No log        | 4.0   | 252  | 3.1066          |
| No log        | 5.0   | 315  | 2.8501          |
| No log        | 6.0   | 378  | 2.6187          |
| No log        | 7.0   | 441  | 2.4137          |
| 3.4823        | 8.0   | 504  | 2.2344          |
| 3.4823        | 9.0   | 567  | 2.0787          |
| 3.4823        | 10.0  | 630  | 1.9493          |
| 3.4823        | 11.0  | 693  | 1.8437          |
| 3.4823        | 12.0  | 756  | 1.7626          |
| 3.4823        | 13.0  | 819  | 1.7043          |
| 3.4823        | 14.0  | 882  | 1.6700          |
| 3.4823        | 15.0  | 945  | 1.6583          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1