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distilbert-base-uncased-lora-text-classification – AI Model by jmeneu | AlphaNeural AI
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jmeneu
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distilbert-base-uncased-lora-text-classification
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peft
safetensors
sentiment
imdb
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-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.4297
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: 0.01
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: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7852
1.0
5000
0.4518
{'accuracy': 0.8486}
0.6289
2.0
10000
0.4492
{'accuracy': 0.8528}
0.0503
3.0
15000
0.4297
{'accuracy': 0.86}
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
Training procedure
Framework versions
PEFT 0.6.2
