File size: 2,121 Bytes
649f7a4 e15af26 649f7a4 85ac303 a07dfb2 447b51d f01c2f7 f9c857e 89cfe00 fcfee40 6bcb947 e15af26 649f7a4 |
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 |
---
license: cc-by-4.0
base_model: deepset/electra-base-squad2
tags:
- generated_from_keras_callback
model-index:
- name: Kiran2004/Electra_QCA_Squad
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. -->
# Kiran2004/Electra_QCA_Squad
This model is a fine-tuned version of [deepset/electra-base-squad2](https://huggingface.co/deepset/electra-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0515
- Validation Loss: 0.1711
- 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.3443 | 0.2038 | 0 |
| 0.2506 | 0.1911 | 1 |
| 0.1457 | 0.1931 | 2 |
| 0.1177 | 0.1815 | 3 |
| 0.1026 | 0.1794 | 4 |
| 0.0772 | 0.1669 | 5 |
| 0.0716 | 0.1754 | 6 |
| 0.0601 | 0.1712 | 7 |
| 0.0484 | 0.1721 | 8 |
| 0.0515 | 0.1711 | 9 |
### Framework versions
- Transformers 4.40.0
- TensorFlow 2.15.0
- Datasets 2.19.0
- Tokenizers 0.19.1
|