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checkpoint – AI Model by tonyshark | AlphaNeural AI
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tonyshark
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checkpoint
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transformers
safetensors
opt
text-generation
trl
sft
generated_from_trainer
facebook/opt-125m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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checkpoint
This model is a fine-tuned version of
facebook/opt-125m
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: 0.0002
train_batch_size: 3
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.1.1+cu121
Datasets 2.18.0
Tokenizers 0.20.3
