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gpt2-sst2-sentiment-classifier-full – AI Model by asm3515 | AlphaNeural AI
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asm3515
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gpt2-sst2-sentiment-classifier-full
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transformers
safetensors
gpt2
text-classification
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4220
Accuracy: 0.9117
F1: 0.9138
Precision: 0.9087
Recall: 0.9189
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: 5e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.2113
1.0
4210
0.5260
0.8991
0.8991
0.9159
0.8829
0.1357
2.0
8420
0.3950
0.8968
0.9011
0.8798
0.9234
0.0988
3.0
12630
0.4220
0.9117
0.9138
0.9087
0.9189
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
