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fine-tuned-model – AI Model by gubee | AlphaNeural AI
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fine-tuned-model
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transformers
safetensors
gguf
starcoder2
text-generation
generated_from_trainer
bigcode/starcoder2-3b
quantized
bigcode-openrail-m
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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fine-tuned-model
This model is a fine-tuned version of
bigcode/starcoder2-3b
on the None 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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cpu
Datasets 3.3.0
Tokenizers 0.21.0
