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opt-350m-alpaca-TPA-finetuned – AI Model by Ekrem-the-second | AlphaNeural AI
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opt-350m-alpaca-TPA-finetuned
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transformers
safetensors
opt
text-generation
generated_from_trainer
summarization
en
tr
fr
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tatsu-lab/alpaca
facebook/opt-350m
finetune
afl-3.0
text-generation-inference
endpoints_compatible
us
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opt-350m-alpaca-TPA-finetuned
This model is a fine-tuned version of
facebook/opt-350m
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
