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afaji/summerschool-2layer-distill-irony

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: results
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # results
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7225
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+ - Accuracy: 0.6416
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 3.6926 | 0.5587 | 100 | 2.4932 | 0.5508 |
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+ | 3.4971 | 1.1173 | 200 | 2.1649 | 0.5738 |
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+ | 2.7013 | 1.6760 | 300 | 2.1019 | 0.5801 |
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+ | 2.0768 | 2.2346 | 400 | 2.4828 | 0.6241 |
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+ | 1.4108 | 2.7933 | 500 | 2.3521 | 0.6471 |
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+ | 1.0545 | 3.3520 | 600 | 2.5568 | 0.6115 |
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+ | 0.707 | 3.9106 | 700 | 2.5198 | 0.6304 |
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+ | 0.4998 | 4.4693 | 800 | 2.8322 | 0.6314 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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