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results_v2
danield12/results_v2
results_v2 is a machine learning model from danield12. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025
- SHA
- 54a70e79
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
results_v2
This model is a fine-tuned version of Salesforce/codet5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6032
- Accuracy: 0.7335
- Precision: 0.1175
- Recall: 0.7568
- F1 Score: 0.2034
- F2 Score: 0.3624
- Gmean: 0.7445
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score | F2 Score | Gmean |
|---|---|---|---|---|---|---|---|---|---|
| 0.4812 | 1.0 | 197 | 0.6032 | 0.7335 | 0.1175 | 0.7568 | 0.2034 | 0.3624 | 0.7445 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025