File size: 1,828 Bytes
720d88c ac49fb6 720d88c f39b6ad 589a55e 1c2a7ea f6f6edd 6b32fcc ddbbea4 7a1d388 6c508a4 ac49fb6 720d88c |
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 60 61 62 63 |
---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Prgrg/en-ja-v4.0
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. -->
# Prgrg/en-ja-v4.0
This model is a fine-tuned version of [Prgrg/en-ja-v3.0](https://huggingface.co/Prgrg/en-ja-v3.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.7581
- Validation Loss: 1.0194
- Epoch: 9
## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 162130, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.3802 | 1.3429 | 0 |
| 1.3146 | 1.2845 | 1 |
| 1.2264 | 1.2126 | 2 |
| 1.1463 | 1.1696 | 3 |
| 1.0739 | 1.1215 | 4 |
| 1.0035 | 1.0868 | 5 |
| 0.9367 | 1.0568 | 6 |
| 0.8725 | 1.0337 | 7 |
| 0.8114 | 1.0205 | 8 |
| 0.7581 | 1.0194 | 9 |
### Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
|