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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: mit
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+ base_model: roberta-base
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+ tags:
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+ - base_model:adapter:roberta-base
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+ - lora
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+ - transformers
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2789
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+ - Accuracy: 0.9566
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+ - Precision: 0.9697
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+ - Recall: 0.9598
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+ - F1: 0.9648
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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: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+ - label_smoothing_factor: 0.1
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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 | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.3138 | 1.0 | 7515 | 0.2915 | 0.9461 | 0.9716 | 0.9403 | 0.9557 |
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+ | 0.3075 | 2.0 | 15030 | 0.2825 | 0.9541 | 0.9720 | 0.9533 | 0.9626 |
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+ | 0.2485 | 3.0 | 22545 | 0.2789 | 0.9566 | 0.9697 | 0.9598 | 0.9648 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.16.0
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+ - Transformers 4.53.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.2
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": [
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+ "classifier",
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+ ],
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+ "peft_type": "LORA",
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+ "qalora_group_size": 16,
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