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2023MLMA_LAB9_task5 – AI Model by yujie07 | AlphaNeural AI
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yujie07
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2023MLMA_LAB9_task5
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transformers
pytorch
tensorboard
gpt2
token-classification
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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2023MLMA_LAB9_task5
This model is a fine-tuned version of
yujie07/2023MLMA_LAB9_task2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1449
Precision: 0.5578
Recall: 0.5875
F1: 0.5723
Accuracy: 0.9525
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
0.2325
1.0
591
0.1697
0.5117
0.4192
0.4608
0.9418
0.151
2.0
1182
0.1448
0.5302
0.5765
0.5524
0.9503
0.1139
3.0
1773
0.1449
0.5578
0.5875
0.5723
0.9525
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
