---
base_model: heisenberg1337/m2m100_418M_tq_fr
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M_tq_fr_1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# m2m100_418M_tq_fr_1

This model is a fine-tuned version of [heisenberg1337/m2m100_418M_tq_fr](https://huggingface.co/heisenberg1337/m2m100_418M_tq_fr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8665
- Bleu: 5.8216

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8405        | 0.97  | 100  | 0.8682          | 5.4390 |
| 0.8303        | 1.94  | 200  | 0.8661          | 5.3736 |
| 0.8245        | 2.91  | 300  | 0.8616          | 5.5394 |
| 0.807         | 3.87  | 400  | 0.8632          | 5.4620 |
| 0.7954        | 4.84  | 500  | 0.8637          | 5.6718 |
| 0.7827        | 5.81  | 600  | 0.8665          | 5.8216 |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3