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h_reward_model_positive_tweets – AI Model by yankihue | AlphaNeural AI
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h_reward_model_positive_tweets
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transformers
pytorch
gpt2
text-classification
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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h_reward_model_positive_tweets
This model is a fine-tuned version of
redrussianarmy/gpt2-turkish-cased
on an unknown dataset.
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5
Training results
Framework versions
Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
