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code-1b-chat-v2 – AI Model by rovdetection | AlphaNeural AI
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rovdetection
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code-1b-chat-v2
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transformers
safetensors
llama
text-generation
generated_from_trainer
rovdetection/code-1b-pretrain-v3
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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code-1b-chat-v2
This model is a fine-tuned version of
rovdetection/code-1b-pretrain-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9919
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: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0509
0.8840
500
1.0258
0.6652
1.7673
1000
0.9919
Framework versions
Transformers 5.9.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
