File size: 2,520 Bytes
8a636cf 45680cc 8a636cf 45680cc 8a636cf 79fbe96 8a636cf 79fbe96 8a636cf 45680cc 8a636cf 45680cc 2b67388 73d609b 328b413 452d1ed 50f1e02 c86d00a 4528837 9a3e17b 2968c20 79fbe96 8a636cf |
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 64 65 66 67 68 69 |
---
license: apache-2.0
base_model: distilbert-base-cased-distilled-squad
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/distilbert-base-cased-distilled-agric-trans-240224
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/distilbert-base-cased-distilled-agric-trans-240224
This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.8057
- Validation Loss: 0.0
- Epoch: 14
## 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 690, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.8831 | 0.0 | 0 |
| 2.1002 | 0.0 | 1 |
| 1.8590 | 0.0 | 2 |
| 1.6544 | 0.0 | 3 |
| 1.4724 | 0.0 | 4 |
| 1.3464 | 0.0 | 5 |
| 1.2419 | 0.0 | 6 |
| 1.1152 | 0.0 | 7 |
| 1.0354 | 0.0 | 8 |
| 0.9869 | 0.0 | 9 |
| 0.9086 | 0.0 | 10 |
| 0.8639 | 0.0 | 11 |
| 0.8258 | 0.0 | 12 |
| 0.7978 | 0.0 | 13 |
| 0.8057 | 0.0 | 14 |
### Framework versions
- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.2
|