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End of training
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README.md
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---
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base_model: distilbert/distilbert-base-uncased
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library_name: peft
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license: apache-2.0
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metrics:
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- accuracy
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tags:
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- generated_from_trainer
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model-index:
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- name: dbert-peft-rating
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results: []
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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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# dbert-peft-rating
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0726
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- Accuracy: 0.4988
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- Mse: 0.8475
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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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- learning_rate: 2e-05
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mse |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 425 | 1.2773 | 0.4119 | 1.1295 |
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| 1.3444 | 2.0 | 850 | 1.1427 | 0.4706 | 0.8780 |
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| 1.1864 | 3.0 | 1275 | 1.1049 | 0.4885 | 0.8633 |
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| 1.1177 | 4.0 | 1700 | 1.0943 | 0.4892 | 0.8169 |
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| 1.0957 | 5.0 | 2125 | 1.0881 | 0.4923 | 0.8172 |
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| 1.0893 | 6.0 | 2550 | 1.0814 | 0.4933 | 0.8636 |
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| 1.0893 | 7.0 | 2975 | 1.0781 | 0.4943 | 0.8324 |
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| 1.0761 | 8.0 | 3400 | 1.0749 | 0.4991 | 0.8464 |
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| 1.0687 | 9.0 | 3825 | 1.0727 | 0.5002 | 0.8530 |
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| 1.0668 | 10.0 | 4250 | 1.0726 | 0.4988 | 0.8475 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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