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