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ast-merge
polinaZaroko/ast-merge
ast-merge is a machine learning model from polinaZaroko. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- ast-genre_classification
- Access
- Public
- Created
- Aug 1, 2025
- Updated
- Aug 1, 2025
- SHA
- 9b834a3a
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. -->
ast-merge
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5391
- Accuracy: 0.1460
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: 0.00039481
- train_batch_size: 4
- eval_batch_size: 4
- seed: 648482574
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 0.1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.01 | 0.11 | 10 | 2.5391 | 0.1460 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.15.2
- Type
- ast-genre_classification
- Created
- Aug 1, 2025
- Updated
- Aug 1, 2025