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results_llama2_7b_myx – AI Model by renadod | AlphaNeural AI
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results_llama2_7b_myx
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peft
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meta-llama/Llama-2-7b-hf
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llama2
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results_llama2_7b_myx
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: 1.1883
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: 64
seed: 42
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: linear
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
1.156
0.0406
50
1.1883
Framework versions
PEFT 0.15.1
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
