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lora-llama2-sentiment – AI Model by SentientMachine | AlphaNeural AI | AlphaNeural AI
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lora-llama2-sentiment
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
us
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lora-llama2-sentiment
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3119
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW 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
1
1.3154
No log
2.0
2
1.3132
No log
3.0
3
1.3119
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
