---
license: mit
tags:
- generated_from_trainer
base_model: facebook/m2m100_418M
model-index:
- name: genre-m2m100_418M
  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. -->

# genre-m2m100_418M

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: 0.0132

## 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: 0.0005
- 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
- lr_scheduler_warmup_steps: 1500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1257        | 0.2   | 1500  | 0.0960          |
| 0.1138        | 0.4   | 3000  | 0.0864          |
| 0.0745        | 0.6   | 4500  | 0.0655          |
| 0.0695        | 0.8   | 6000  | 0.0464          |
| 0.0926        | 1.0   | 7500  | 0.0444          |
| 0.0348        | 1.2   | 9000  | 0.0348          |
| 0.0626        | 1.4   | 10500 | 0.0342          |
| 0.0641        | 1.6   | 12000 | 0.0305          |
| 0.0249        | 1.8   | 13500 | 0.0285          |
| 0.0432        | 2.0   | 15000 | 0.0245          |
| 0.0171        | 2.2   | 16500 | 0.0250          |
| 0.0575        | 2.4   | 18000 | 0.0233          |
| 0.0221        | 2.6   | 19500 | 0.0213          |
| 0.025         | 2.8   | 21000 | 0.0202          |
| 0.0136        | 3.0   | 22500 | 0.0194          |
| 0.0222        | 3.2   | 24000 | 0.0184          |
| 0.0581        | 3.4   | 25500 | 0.0174          |
| 0.0132        | 3.6   | 27000 | 0.0168          |
| 0.0087        | 3.8   | 28500 | 0.0159          |
| 0.0164        | 4.0   | 30000 | 0.0152          |
| 0.0088        | 4.2   | 31500 | 0.0149          |
| 0.0217        | 4.4   | 33000 | 0.0144          |
| 0.0091        | 4.6   | 34500 | 0.0138          |
| 0.0099        | 4.8   | 36000 | 0.0134          |
| 0.0078        | 5.0   | 37500 | 0.0132          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1