---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
- generated_from_keras_callback
model-index:
- name: dyu-fr-opus-v2.0
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# dyu-fr-opus-v2.0

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4876
- Validation Loss: 3.7181
- Epoch: 19

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.2099     | 3.6175          | 0     |
| 3.4757     | 3.4413          | 1     |
| 3.0954     | 3.3367          | 2     |
| 2.7804     | 3.2639          | 3     |
| 2.5106     | 3.2269          | 4     |
| 2.2711     | 3.2267          | 5     |
| 2.0556     | 3.2083          | 6     |
| 1.8625     | 3.2228          | 7     |
| 1.6882     | 3.2533          | 8     |
| 1.5238     | 3.2604          | 9     |
| 1.3797     | 3.2987          | 10    |
| 1.2367     | 3.3460          | 11    |
| 1.1085     | 3.3993          | 12    |
| 0.9946     | 3.4232          | 13    |
| 0.8910     | 3.4565          | 14    |
| 0.7927     | 3.5120          | 15    |
| 0.7037     | 3.5665          | 16    |
| 0.6257     | 3.6241          | 17    |
| 0.5545     | 3.6816          | 18    |
| 0.4876     | 3.7181          | 19    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2