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strict-small-5 – AI Model by hopkins | AlphaNeural AI
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strict-small-5
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
generator
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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strict-small-5
This model is a fine-tuned version of
gpt2
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 4.1270
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.2308
0.96
32000
4.1270
3.2291
0.98
33000
4.1270
Framework versions
Transformers 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
