---
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: []
datasets:
- reddgr/tl-test-learn-prompts
---

<!-- 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1733
- Train Accuracy: 0.9756
- Validation Loss: 0.3006
- Validation Accuracy: 0.8977
- Epoch: 6

## 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': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-06, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.6870     | 0.5707         | 0.6656          | 0.6136              | 0     |
| 0.6542     | 0.6293         | 0.6289          | 0.6477              | 1     |
| 0.5970     | 0.7902         | 0.5541          | 0.7955              | 2     |
| 0.4936     | 0.8829         | 0.4490          | 0.8523              | 3     |
| 0.3649     | 0.9415         | 0.3775          | 0.875               | 4     |
| 0.2563     | 0.9561         | 0.3254          | 0.8977              | 5     |
| 0.1733     | 0.9756         | 0.3006          | 0.8977              | 6     |


### Framework versions

- Transformers 4.44.2
- TensorFlow 2.18.0-dev20240717
- Datasets 2.21.0
- Tokenizers 0.19.1