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codeparrot-ds – AI Model by SahilCarterr | AlphaNeural AI
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SahilCarterr
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codeparrot-ds
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peft
safetensors
generated_from_trainer
TheBloke/Llama-2-7B-Chat-GPTQ
adapter
llama2
us
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codeparrot-ds
This model is a fine-tuned version of
TheBloke/Llama-2-7b-Chat-GPTQ
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7460
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 8
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7475
0.9984
312
0.7460
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
