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mega-base-multiple-choice-v2 – AI Model by Xenopilus | AlphaNeural AI
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Xenopilus
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mega-base-multiple-choice-v2
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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-v2
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: 0.4909
Precision: 0.4911
Recall: 0.4997
F1: 0.4953
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: 0.005
train_batch_size: 1024
eval_batch_size: 1024
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 24000
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
1.0
34
0.6932
0.4975
0.4976
0.5040
0.5007
No log
2.0
68
0.6932
0.4922
0.4924
0.5013
0.4968
No log
3.0
102
0.6932
0.4909
0.4911
0.4997
0.4953
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
