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opt-2-7b – AI Model by arminmehrabian | AlphaNeural AI
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opt-2-7b
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transformers
pytorch
opt
text-generation
generated_from_trainer
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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opt-2-7b
This model is a fine-tuned version of
facebook/opt-2.7b
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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 16
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 20.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.27.3
Pytorch 2.0.0+cu117
Tokenizers 0.12.1
