metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-zh
tags:
- generated_from_keras_callback
model-index:
- name: OPUS-en-zh-BEI_DE_3
results: []
OPUS-en-zh-BEI_DE_3
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.4374
- Validation Loss: 3.6565
- Train Bleu: 0.6300
- Train Gen Len: 94.5993
- Epoch: 2
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 |
|---|---|---|---|---|
| 3.9844 | 3.7141 | 0.4650 | 93.8384 | 0 |
| 3.6472 | 3.6723 | 0.5867 | 93.3232 | 1 |
| 3.4374 | 3.6565 | 0.6300 | 94.5993 | 2 |
Framework versions
- Transformers 4.47.1
- TensorFlow 2.18.0
- Datasets 3.2.0
- Tokenizers 0.21.0