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GPT2-small-PEFT-LoRA-finetuned-amazon-reviews-en-classification – AI Model by Maximofn | AlphaNeural AI
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Maximofn
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GPT2-small-PEFT-LoRA-finetuned-amazon-reviews-en-classification
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peft
safetensors
generated_from_trainer
text-classification
en
mteb/amazon_reviews_multi
openai-community/gpt2
adapter
mit
us
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GPT2-small-PEFT-LoRA-finetuned-amazon-reviews-en-classification
This model is a fine-tuned version of
openai-community/gpt2
on
mteb/amazon_reviews_multi
dataset.
It is the result of the post
Fine tunning SML
It achieves the following results on the evaluation set:
Loss: 1.4127
Accuracy: 0.3862
Model description
This model provides classification of reviews in english
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: 2e-05
train_batch_size: 400
eval_batch_size: 400
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.2751
1.0
500
1.5125
0.3182
1.5159
2.0
1000
1.4176
0.3738
1.4635
3.0
1500
1.4051
0.3814
Framework versions
PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
