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gpt2-finetuned-v3-seinfeld – AI Model by sdeg | AlphaNeural AI
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gpt2-finetuned-v3-seinfeld
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transformers
pytorch
tensorboard
opt
text-generation
generated_from_trainer
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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gpt2-finetuned-v3-seinfeld
This model is a fine-tuned version of
facebook/opt-350m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.8039
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: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.3507
1.09
25
2.7998
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2
