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MLMA_Lab_8_GPT_model – AI Model by shubhanmathur | AlphaNeural AI
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MLMA_Lab_8_GPT_model
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transformers
tensorboard
safetensors
gpt2
token-classification
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
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MLMA_Lab_8_GPT_model
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1509
Precision: 0.4333
Recall: 0.5197
F1: 0.4726
Accuracy: 0.9564
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
0.3275
1.0
679
0.1747
0.2975
0.4460
0.3569
0.9449
0.169
2.0
1358
0.1661
0.3892
0.4956
0.4360
0.9510
0.0994
3.0
2037
0.1509
0.4333
0.5197
0.4726
0.9564
Framework versions
Transformers 4.39.3
Pytorch 2.2.0
Datasets 2.18.0
Tokenizers 0.15.2
