File size: 1,918 Bytes
aa31ba2 a8894c8 aa31ba2 391f1ea aa31ba2 3f389b1 c336a4a 3f389b1 aa31ba2 dc39d8d 3f389b1 aa31ba2 3f389b1 aa31ba2 3f389b1 aa31ba2 3f389b1 aa31ba2 3f389b1 aa31ba2 3f389b1 aa31ba2 3f389b1 aa31ba2 c2b40e5 aa31ba2 c2b40e5 ab8314b dc39d8d aa31ba2 3f389b1 aa31ba2 |
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: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_keras_callback
model-index:
- name: Kiran2004/Roberta_qca_sample
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/Roberta_qca_sample
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0050
- Validation Loss: 0.0012
- Epoch: 4
## 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': 1e-05, 'decay_steps': 100, '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 |
|:----------:|:---------------:|:-----:|
| 0.9216 | 0.0300 | 0 |
| 0.0290 | 0.0028 | 1 |
| 0.0077 | 0.0015 | 2 |
| 0.0055 | 0.0013 | 3 |
| 0.0050 | 0.0012 | 4 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.19.0
- Tokenizers 0.15.2
|