File size: 1,620 Bytes
eefcd6b 490b5c1 eefcd6b 490b5c1 eefcd6b deff841 eefcd6b 35af0f7 deff841 eefcd6b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-zh
tags:
- generated_from_keras_callback
model-index:
- name: OPUS-en-zh-nospace
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. -->
# OPUS-en-zh-nospace
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: 3.1289
- Validation Loss: 3.4249
- Train Bleu: 0.0217
- Train Gen Len: 101.9
- 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 |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 3.6708 | 3.4622 | 0.0225 | 98.6278 | 0 |
| 3.3378 | 3.4335 | 0.0186 | 101.9167 | 1 |
| 3.1289 | 3.4249 | 0.0217 | 101.9 | 2 |
### Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1
|