---
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: 0.1841

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8401        | 0.11  | 100  | 0.4579          |
| 0.3757        | 0.23  | 200  | 0.2560          |
| 0.2783        | 0.34  | 300  | 0.2298          |
| 0.2618        | 0.46  | 400  | 0.2190          |
| 0.2733        | 0.57  | 500  | 0.2061          |
| 0.2236        | 0.69  | 600  | 0.2001          |
| 0.2183        | 0.8   | 700  | 0.1939          |
| 0.2315        | 0.91  | 800  | 0.1875          |
| 0.2058        | 1.03  | 900  | 0.1848          |
| 0.1705        | 1.14  | 1000 | 0.1841          |


### Framework versions

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