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Test_sagemaker – AI Model by viv6267 | AlphaNeural AI
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viv6267
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Test_sagemaker
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peft
tensorboard
safetensors
generated_from_trainer
NousResearch/Llama-2-7b-hf
adapter
us
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Test_sagemaker
This model is a fine-tuned version of
NousResearch/Llama-2-7b-hf
on the None dataset.
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
0.9874
54
0.7080
0.5133
0.5101
0.4731
0.4909
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.3.1.post300
Datasets 3.2.0
Tokenizers 0.21.0
