---
base_model: heisenberg1337/m2m100_418M_tq_fr_1
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M_tq_fr_new_data
  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_new_data

This model is a fine-tuned version of [heisenberg1337/m2m100_418M_tq_fr_1](https://huggingface.co/heisenberg1337/m2m100_418M_tq_fr_1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7732
- Bleu: 5.0521

## 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: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7993        | 1.69  | 100  | 0.7767          | 4.9208 |
| 0.7761        | 3.38  | 200  | 0.7743          | 4.7089 |
| 0.7723        | 5.06  | 300  | 0.7726          | 4.8445 |
| 0.7585        | 6.75  | 400  | 0.7720          | 4.8352 |
| 0.7468        | 8.44  | 500  | 0.7732          | 5.1454 |
| 0.7331        | 10.13 | 600  | 0.7744          | 4.8311 |
| 0.7301        | 11.81 | 700  | 0.7732          | 5.0521 |


### Framework versions

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