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custom – AI Model by flytech | AlphaNeural AI | AlphaNeural AI
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openai-community/gpt2-xl
finetune
mit
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Model card
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This model is a fine-tuned version of
gpt2-xl
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3280
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: 32
eval_batch_size: 48
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.5844
0.68
200
1.4102
1.4081
1.37
400
1.3670
1.3422
2.05
600
1.3424
1.2711
2.73
800
1.3310
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
