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MLMA_Lab_8_GPT – AI Model by rupav02gmail | AlphaNeural AI | AlphaNeural AI
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MLMA_Lab_8_GPT
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transformers
tensorboard
safetensors
gpt2
token-classification
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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MLMA_Lab_8_GPT
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1501
Precision: 0.4539
Recall: 0.5382
F1: 0.4924
Accuracy: 0.9570
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2907
1.0
679
0.1812
0.3208
0.3041
0.3122
0.9463
0.1689
2.0
1358
0.1456
0.3980
0.5165
0.4496
0.9536
0.0952
3.0
2037
0.1501
0.4539
0.5382
0.4924
0.9570
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
