File size: 2,089 Bytes
7bbeee2 add7ec5 7bbeee2 add7ec5 7bbeee2 246284e 7bbeee2 246284e 7bbeee2 |
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 |
---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: PromptGenerator_32_topic_finetuned
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. -->
# PromptGenerator_32_topic_finetuned
This model is a fine-tuned version of [kmkarakaya/turkishReviews-ds](https://huggingface.co/kmkarakaya/turkishReviews-ds) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0569
- Train Sparse Categorical Accuracy: 1.0
- Validation Loss: 0.0787
- Validation Sparse Categorical Accuracy: 1.0
- 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
| 1.7185 | 0.7860 | 0.5569 | 0.9868 | 0 |
| 0.4711 | 0.9958 | 0.2097 | 0.9995 | 1 |
| 0.2016 | 1.0000 | 0.1197 | 0.9999 | 2 |
| 0.1014 | 1.0 | 0.0903 | 0.9999 | 3 |
| 0.0569 | 1.0 | 0.0787 | 1.0 | 4 |
### Framework versions
- Transformers 4.21.1
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1
|