---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: tl-test-learn-prompt-classifier
  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. -->

# tl-test-learn-prompt-classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [reddgr/tl-test-learn-prompts](https://huggingface.co/datasets/reddgr/tl-test-learn-prompts) dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0794
- Train Accuracy: 1.0
- Validation Loss: 0.2381
- Validation Accuracy: 0.9444
- Epoch: 5

## 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': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.6829     | 0.5808         | 0.6541          | 0.7639              | 0     |
| 0.6315     | 0.7784         | 0.5824          | 0.8472              | 1     |
| 0.4975     | 0.9222         | 0.4382          | 0.8889              | 2     |
| 0.3094     | 0.9521         | 0.3303          | 0.9028              | 3     |
| 0.1684     | 0.9820         | 0.2741          | 0.9028              | 4     |
| 0.0794     | 1.0            | 0.2381          | 0.9444              | 5     |


### Framework versions

- Transformers 4.46.2
- TensorFlow 2.17.1
- Datasets 3.1.0
- Tokenizers 0.20.3