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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_keras_callback
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model-index:
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- name: tl-test-learn-prompt-classifier
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# tl-test-learn-prompt-classifier
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0934
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- Train Accuracy: 0.9923
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- Validation Loss: 0.2064
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- Validation Accuracy: 0.9196
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- Epoch: 7
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- 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}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.6893 | 0.5367 | 0.6705 | 0.5536 | 0 |
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| 0.6573 | 0.6911 | 0.6171 | 0.8125 | 1 |
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| 0.5946 | 0.7876 | 0.5066 | 0.9196 | 2 |
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| 0.4681 | 0.9035 | 0.3703 | 0.9107 | 3 |
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| 0.3276 | 0.9266 | 0.2682 | 0.9286 | 4 |
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| 0.2147 | 0.9614 | 0.2311 | 0.9196 | 5 |
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| 0.1356 | 0.9768 | 0.2067 | 0.9286 | 6 |
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| 0.0934 | 0.9923 | 0.2064 | 0.9196 | 7 |
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### Framework versions
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- Transformers 4.44.2
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- TensorFlow 2.18.0-dev20240717
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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