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gpt2-xl-ft-3 – AI Model by newtonkwan | AlphaNeural AI
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gpt2-xl-ft-3
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-xl-ft-3
This model is a fine-tuned version of
gpt2-xl
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4315
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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 2022
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100.0
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
156
1.3062
No log
2.0
312
1.3141
No log
3.0
468
1.3810
1.1725
4.0
624
1.4315
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
Perplexity
Score: 138.43353271484375
Dataset Size
Size: 25000
