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gpt2-moe-top2-4-rte – AI Model by lightsout19 | AlphaNeural AI
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gpt2-moe-top2-4-rte
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gpt2-moe-top2-4-rte
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6857
Accuracy: 0.5560
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
0.7038
0.4765
No log
2.0
156
0.6932
0.5054
No log
3.0
234
0.6939
0.5704
No log
4.0
312
0.6829
0.5596
No log
5.0
390
0.6753
0.5812
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
