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gpt2-xl_ft_mult_5k – AI Model by beston91 | AlphaNeural AI
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gpt2-xl_ft_mult_5k
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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_mult_5k
This model is a fine-tuned version of
gpt2-xl
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6758
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.99
27
6.3035
No log
1.99
54
1.2709
No log
2.99
81
0.7482
No log
3.99
108
0.6758
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
Perplexity
Score: 21.267963409423828
Dataset Size
Size: 5000
