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mortezaem/distilbert-base-uncased-lora-text-classification

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README.md ADDED
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+ ---
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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_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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4732
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+ - Accuracy: 0.7753
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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: 32
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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: 8
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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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+ | 0.5092 | 1.0 | 5688 | 0.4979 | 0.7591 |
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+ | 0.4928 | 2.0 | 11376 | 0.4876 | 0.7662 |
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+ | 0.4915 | 3.0 | 17064 | 0.4821 | 0.7711 |
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+ | 0.4787 | 4.0 | 22752 | 0.4779 | 0.7731 |
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+ | 0.4757 | 5.0 | 28440 | 0.4767 | 0.7746 |
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+ | 0.473 | 6.0 | 34128 | 0.4743 | 0.775 |
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+ | 0.4649 | 7.0 | 39816 | 0.4741 | 0.7751 |
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+ | 0.4709 | 8.0 | 45504 | 0.4732 | 0.7753 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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