|
--- |
|
license: cc-by-4.0 |
|
base_model: badokorach/minilm-uncased-squad2-agric-041223 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: badokorach/minilm-uncased-trans-agric-290124 |
|
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. --> |
|
|
|
# badokorach/minilm-uncased-trans-agric-290124 |
|
|
|
This model is a fine-tuned version of [badokorach/minilm-uncased-squad2-agric-041223](https://huggingface.co/badokorach/minilm-uncased-squad2-agric-041223) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.0045 |
|
- Validation Loss: 0.0 |
|
- Epoch: 14 |
|
|
|
|
|
## Model Performance |
|
-Exact_Match: 76.03% |
|
-F1 Score: 76.35% |
|
|
|
## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 2280, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02} |
|
- training_precision: mixed_float16 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 0.1440 | 0.0 | 0 | |
|
| 0.0223 | 0.0 | 1 | |
|
| 0.0159 | 0.0 | 2 | |
|
| 0.0153 | 0.0 | 3 | |
|
| 0.0099 | 0.0 | 4 | |
|
| 0.0082 | 0.0 | 5 | |
|
| 0.0079 | 0.0 | 6 | |
|
| 0.0064 | 0.0 | 7 | |
|
| 0.0050 | 0.0 | 8 | |
|
| 0.0047 | 0.0 | 9 | |
|
| 0.0047 | 0.0 | 10 | |
|
| 0.0044 | 0.0 | 11 | |
|
| 0.0046 | 0.0 | 12 | |
|
| 0.0042 | 0.0 | 13 | |
|
| 0.0045 | 0.0 | 14 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- TensorFlow 2.15.0 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
