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gpt2-moe-top3-3-rte – AI Model by lightsout19 | AlphaNeural AI
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gpt2-moe-top3-3-rte
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gpt2-moe-top3-3-rte
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6584
Accuracy: 0.6029
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
78
0.7067
0.4910
No log
2.0
156
0.6959
0.5199
No log
3.0
234
0.6945
0.5379
No log
4.0
312
0.6858
0.5740
No log
5.0
390
0.6600
0.6173
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
