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MLMA_GPT_Lab_8 – AI Model by rupav02gmail | AlphaNeural AI
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MLMA_GPT_Lab_8
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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_GPT_Lab_8
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1568
Precision: 0.4432
Recall: 0.5553
F1: 0.4929
Accuracy: 0.9566
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
0.2733
1.0
679
0.1647
0.3679
0.4142
0.3897
0.9483
0.1655
2.0
1358
0.1573
0.3803
0.5388
0.4458
0.9517
0.093
3.0
2037
0.1568
0.4432
0.5553
0.4929
0.9566
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
