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CodeLlama-7b-hf_FIM_200 – AI Model by rvind2508 | AlphaNeural AI
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rvind2508
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CodeLlama-7b-hf_FIM_200
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peft
safetensors
adapter
lora
transformers
text-generation
meta-llama/CodeLlama-7b-hf
llama2
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CodeLlama-7b-hf_FIM_200
This model is a fine-tuned version of
meta-llama/CodeLlama-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7774
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: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
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
lr_scheduler_warmup_steps: 0.05
training_steps: 200
Training results
Training Loss
Epoch
Step
Validation Loss
0.6036
0.5
100
1.5000
0.4254
1.0
200
1.7774
Framework versions
PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.5.1+cu121
Datasets 4.7.0
Tokenizers 0.22.2
