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rahulnbiju007/
SmolLM-135M-Instruct-lora-text-classification

Name: SmolLM-135M-Instruct-lora-text-classification
Availability: InStock

peft

safetensors

generated_from_trainer

HuggingFaceTB/SmolLM-135M-Instruct

adapter

apache-2.0

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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

rahulnbiju007/SmolLM-135M-Instruct-lora-text-classification

SmolLM-135M-Instruct-lora-text-classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rahulnbiju007/
SmolLM-135M-Instruct-lora-text-classification