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Llama-2-7b-hf-sentiment – AI Model by AlexanderHolmes0 | AlphaNeural AI
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Llama-2-7b-hf-sentiment
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peft
safetensors
llama
generated_from_trainer
meta-llama/Llama-2-7b-hf
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Llama-2-7b-hf-sentiment
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown 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: 0.0001
train_batch_size: 128
eval_batch_size: 128
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 256
total_eval_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1-score
Accuracy
No log
1.0
179
0.5836
0.742
0.742
0.7420
0.742
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
