| | --- |
| | 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 |
| |
|
