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mega-base-multiple-choice-fp16-v1 – AI Model by Xenopilus | AlphaNeural AI
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Xenopilus
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mega-base-multiple-choice-fp16-v1
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transformers
safetensors
mega
multiple-choice
generated_from_trainer
mnaylor/mega-base-wikitext
finetune
apache-2.0
endpoints_compatible
us
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mega-base-multiple-choice-fp16-v1
This model is a fine-tuned version of
mnaylor/mega-base-wikitext
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6932
Accuracy: 0.5012
Precision: 0.5017
Recall: 0.3409
F1: 0.4060
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: 0.001
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
1.0
269
0.6933
0.4944
0.4649
0.0743
0.1281
0.6938
2.0
538
0.6932
0.4931
0.4910
0.3799
0.4284
0.6938
3.0
807
0.6932
0.5012
0.5017
0.3409
0.4060
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
