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roberta-large-lora-multi-class-classification
bhujith10/roberta-large-lora-multi-class-classification
roberta-large-lora-multi-class-classification is a machine learning model from bhujith10. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024
- SHA
- f00a94ea
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. -->
roberta-large-lora-multi-class-classification
This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2042
- Micro f1: 0.7842
- Macro f1: 0.5733
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|---|---|---|---|---|---|
| 0.4408 | 0.9995 | 1048 | 0.2138 | 0.7841 | 0.5624 |
| 0.448 | 2.0 | 2097 | 0.2127 | 0.7943 | 0.5788 |
| 0.446 | 2.9986 | 3144 | 0.2042 | 0.7842 | 0.5733 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.1.0+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1
- Library
- peft
- License
- mit
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024