---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: en-it-model
  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. -->

# en-it-model

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-it](https://huggingface.co/Helsinki-NLP/opus-mt-en-it) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1962
- Train Acc: 0.4204
- Validation Loss: 0.2883
- Validation Acc: 0.4046
- Epoch: 8

## 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 | Train Acc | Validation Loss | Validation Acc | Epoch |
|:----------:|:---------:|:---------------:|:--------------:|:-----:|
| 0.3407     | 0.4068    | 0.2950          | 0.4038         | 0     |
| 0.2827     | 0.4128    | 0.2846          | 0.4052         | 1     |
| 0.2563     | 0.4147    | 0.2787          | 0.4054         | 2     |
| 0.2389     | 0.4166    | 0.2777          | 0.4056         | 3     |
| 0.2262     | 0.4185    | 0.2800          | 0.4051         | 4     |
| 0.2161     | 0.4186    | 0.2817          | 0.4049         | 5     |
| 0.2082     | 0.4199    | 0.2829          | 0.4051         | 6     |
| 0.2014     | 0.4213    | 0.2860          | 0.4047         | 7     |
| 0.1962     | 0.4204    | 0.2883          | 0.4046         | 8     |


### Framework versions

- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2