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agri_finetuned_model-finetuned-batch-30-finetuned-batch-101
Harshraj8721/agri_finetuned_model-finetuned-batch-30-finetuned-batch-101
agri_finetuned_model-finetuned-batch-30-finetuned-batch-101 is a text classification model from Harshraj8721. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Mar 10, 2025
- Updated
- Mar 10, 2025
- SHA
- 7c7fdccd
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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. -->
agri_finetuned_model-finetuned-batch-30-finetuned-batch-101
This model is a fine-tuned version of Harshraj8721/agri_finetuned_model-finetuned-batch-30 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 819 | 0.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Mar 10, 2025
- Updated
- Mar 10, 2025