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End of training

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  1. README.md +70 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ base_model: lupobricco/irony_classification_single_label_base
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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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+ - f1
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+ model-index:
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+ - name: ironita_finetuned_singlelabel_prompet
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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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+ # ironita_finetuned_singlelabel_prompet
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+
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+ This model is a fine-tuned version of [lupobricco/irony_classification_single_label_base](https://huggingface.co/lupobricco/irony_classification_single_label_base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2508
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+ - Accuracy: 0.8436
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+ - F1: 0.5211
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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: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 10
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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 | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.4657 | 1.0 | 715 | 0.7454 | 0.8110 | 0.5087 |
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+ | 0.2039 | 2.0 | 1430 | 0.8910 | 0.8265 | 0.4871 |
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+ | 0.0559 | 3.0 | 2145 | 1.0045 | 0.8282 | 0.4603 |
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+ | 0.0434 | 4.0 | 2860 | 1.0742 | 0.8454 | 0.5008 |
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+ | 0.0297 | 5.0 | 3575 | 1.2070 | 0.8436 | 0.4886 |
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+ | 0.0108 | 6.0 | 4290 | 1.2899 | 0.8368 | 0.5006 |
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+ | 0.0154 | 7.0 | 5005 | 1.1797 | 0.8540 | 0.5073 |
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+ | 0.0081 | 8.0 | 5720 | 1.1496 | 0.8436 | 0.5047 |
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+ | 0.0092 | 9.0 | 6435 | 1.2508 | 0.8436 | 0.5211 |
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+ | 0.0052 | 10.0 | 7150 | 1.2359 | 0.8471 | 0.4992 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0+cu118
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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