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llama2_finetuned – AI Model by sanidhya2801 | AlphaNeural AI
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llama2_finetuned
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peft
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
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llama2_finetuned
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: 26.2826
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: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
4
27.8797
No log
2.0
8
26.7549
No log
3.0
12
26.2826
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
