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getcode-v2 – AI Model by ccore | AlphaNeural AI
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ccore
/
getcode-v2
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transformers
tensorboard
safetensors
opt
text-generation
generated_from_trainer
ccore/getcode-v2
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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getcode-v2
This model is a fine-tuned version of
ccore/getcode-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8979
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: 0.0001
train_batch_size: 32
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.9081
1.0
1361
0.9017
0.8947
1.9990
2720
0.8979
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
