|
--- |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-en-zh |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: pastells/en-zh-test |
|
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. --> |
|
|
|
# pastells/en-zh-test |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 3.6747 |
|
- Validation Loss: 4.4216 |
|
- Train Bleu: 0.0097 |
|
- Train Gen Len: 100.1395 |
|
- Epoch: 4 |
|
|
|
## 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 | Train Bleu | Train Gen Len | Epoch | |
|
|:----------:|:---------------:|:----------:|:-------------:|:-----:| |
|
| 4.4659 | 4.4875 | 0.0102 | 99.2093 | 0 | |
|
| 4.2023 | 4.4382 | 0.0588 | 34.8372 | 1 | |
|
| 4.0009 | 4.4255 | 0.0568 | 34.5116 | 2 | |
|
| 3.8234 | 4.4239 | 0.0641 | 33.3488 | 3 | |
|
| 3.6747 | 4.4216 | 0.0097 | 100.1395 | 4 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- TensorFlow 2.15.0 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
