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

# it-en-model

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-it-en](https://huggingface.co/Helsinki-NLP/opus-mt-it-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0762
- Train Acc: 0.4615
- Validation Loss: 0.1674
- Validation Acc: 0.4489
- 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 |
|:----------:|:---------:|:---------------:|:--------------:|:-----:|
| 0.2335     | 0.4419    | 0.1955          | 0.4417         | 0     |
| 0.1760     | 0.4484    | 0.1788          | 0.4441         | 1     |
| 0.1466     | 0.4519    | 0.1715          | 0.4456         | 2     |
| 0.1263     | 0.4546    | 0.1666          | 0.4466         | 3     |
| 0.1109     | 0.4564    | 0.1645          | 0.4473         | 4     |
| 0.0992     | 0.4589    | 0.1639          | 0.4478         | 5     |
| 0.0898     | 0.4605    | 0.1658          | 0.4485         | 6     |
| 0.0824     | 0.4610    | 0.1657          | 0.4488         | 7     |
| 0.0762     | 0.4615    | 0.1674          | 0.4489         | 8     |


### Framework versions

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