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lora-save-test – AI Model by AlekseyKorshuk | AlphaNeural AI
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lora-save-test
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pytorch
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lora-save-test
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.5977
Accuracy: 0.0313
Entropy: 3.3505
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: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 99
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Entropy
6.9414
1.0
2
5.5977
0.0313
3.3505
Framework versions
Transformers 4.28.1
Pytorch 2.0.0-rc1
Datasets 2.7.1
Tokenizers 0.13.3
