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final_instruction_finetuned_llama2_7b – AI Model by renadod | AlphaNeural AI
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final_instruction_finetuned_llama2_7b
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peft
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
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final_instruction_finetuned_llama2_7b
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7516
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: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
1.7049
1.32
25
1.8464
1.5532
2.64
50
1.7587
1.4189
3.96
75
1.7518
1.4114
5.2667
100
1.7516
Framework versions
PEFT 0.15.1
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
