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gpt2-inst-tuning – AI Model by OptimalScale | AlphaNeural AI
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gpt2-inst-tuning
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
lmflow_instruction
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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044_inst-tuning_model-gpt_num-epoch-5_init-lr-2e-5_bf-16_blocksize768
This model is a fine-tuned version of
gpt2
on the lmflow_instruction 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: 2e-05
train_batch_size: 64
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 512
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.27.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2
