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SmolLM-135M-Instruct-lora-text-classification
rahulnbiju007/SmolLM-135M-Instruct-lora-text-classification
SmolLM-135M-Instruct-lora-text-classification is a machine learning model from rahulnbiju007. 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
- Jan 16, 2025
- Updated
- Jan 16, 2025
- SHA
- 1bb05d2c
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. -->
SmolLM-135M-Instruct-lora-text-classification
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6511
- Accuracy: {'accuracy': 0.923}
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.2663 | {'accuracy': 0.909} |
| 0.3466 | 2.0 | 500 | 0.3337 | {'accuracy': 0.92} |
| 0.3466 | 3.0 | 750 | 0.7002 | {'accuracy': 0.9} |
| 0.0511 | 4.0 | 1000 | 0.6349 | {'accuracy': 0.92} |
| 0.0511 | 5.0 | 1250 | 0.6064 | {'accuracy': 0.929} |
| 0.0008 | 6.0 | 1500 | 0.6528 | {'accuracy': 0.921} |
| 0.0008 | 7.0 | 1750 | 0.6513 | {'accuracy': 0.921} |
| 0.0 | 8.0 | 2000 | 0.6510 | {'accuracy': 0.921} |
| 0.0 | 9.0 | 2250 | 0.6511 | {'accuracy': 0.923} |
| 0.0 | 10.0 | 2500 | 0.6511 | {'accuracy': 0.923} |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.0
- Pytorch 2.5.1+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 16, 2025
- Updated
- Jan 16, 2025