File size: 2,327 Bytes
b84a828 c682261 0b0c1b5 c682261 b84a828 d808bf0 b84a828 d808bf0 e383091 b75d850 9de3955 fffcc40 0b0c1b5 c682261 b84a828 |
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 |
---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Cielciel/model_review
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. -->
# Cielciel/model_review
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0348
- Validation Loss: 0.4618
- Train Accuracy: 0.8929
- 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-06, 'decay_steps': 345, '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 | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.0565 | 0.4497 | 0.9048 | 0 |
| 0.0526 | 0.4524 | 0.9048 | 1 |
| 0.0480 | 0.4472 | 0.9048 | 2 |
| 0.0450 | 0.4502 | 0.9048 | 3 |
| 0.0423 | 0.4519 | 0.9048 | 4 |
| 0.0398 | 0.4562 | 0.9048 | 5 |
| 0.0385 | 0.4559 | 0.9048 | 6 |
| 0.0363 | 0.4578 | 0.8929 | 7 |
| 0.0357 | 0.4604 | 0.8929 | 8 |
| 0.0348 | 0.4618 | 0.8929 | 9 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0
|