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---
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library_name: transformers
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license: mit
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base_model: facebook/bart-large-mnli
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tags:
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- generated_from_keras_callback
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model-index:
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- name: zero-shot-prompt-classifier-bart-ft
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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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# zero-shot-prompt-classifier-bart-ft
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This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4474
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- Train Accuracy: 0.7843
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- Validation Loss: 1.5942
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- Validation Accuracy: 0.4657
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- Epoch: 4
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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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| 0.9969 | 0.5490 | 0.9182 | 0.6225 | 0 |
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| 0.7647 | 0.6601 | 1.0025 | 0.5441 | 1 |
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| 0.6465 | 0.7157 | 1.1472 | 0.5392 | 2 |
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| 0.5849 | 0.7418 | 1.1974 | 0.5049 | 3 |
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| 0.4474 | 0.7843 | 1.5942 | 0.4657 | 4 |
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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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