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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: AnaniyaX/decision-distilbert-uncased
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. -->
# AnaniyaX/decision-distilbert-uncased
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: 0.0149
- Train Accuracy: 0.9960
- Epoch: 7
## 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': 2e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Train Accuracy | Epoch |
|:----------:|:--------------:|:-----:|
| 0.1914 | 0.9444 | 0 |
| 0.0711 | 0.9768 | 1 |
| 0.0531 | 0.9826 | 2 |
| 0.0427 | 0.9868 | 3 |
| 0.0330 | 0.9904 | 4 |
| 0.0264 | 0.9923 | 5 |
| 0.0195 | 0.9947 | 6 |
| 0.0149 | 0.9960 | 7 |
### Framework versions
- Transformers 4.27.2
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
|