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psykick21/
distilbert-base-uncased-lora-text-classification

Name: distilbert-base-uncased-lora-text-classification
Rating: 2.5 (8 reviews)

peft

tensorboard

safetensors

generated_from_trainer

distilbert/distilbert-base-uncased

adapter

apache-2.0

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distilbert-base-uncased-lora-text-classification

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3129
Accuracy: {'accuracy': 0.86}

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.4795	{'accuracy': 0.85}
0.4131	2.0	500	0.6526	{'accuracy': 0.851}
0.4131	3.0	750	0.6766	{'accuracy': 0.854}
0.2017	4.0	1000	0.9597	{'accuracy': 0.855}
0.2017	5.0	1250	0.9623	{'accuracy': 0.857}
0.1102	6.0	1500	0.9842	{'accuracy': 0.866}
0.1102	7.0	1750	1.1943	{'accuracy': 0.859}
0.023	8.0	2000	1.2874	{'accuracy': 0.859}
0.023	9.0	2250	1.3154	{'accuracy': 0.859}
0.0047	10.0	2500	1.3129	{'accuracy': 0.86}

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

psykick21/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

psykick21/
distilbert-base-uncased-lora-text-classification