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hubbub-sentiment_llama3 – AI Model by george24 | AlphaNeural AI
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hubbub-sentiment_llama3
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peft
safetensors
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meta-llama/Meta-Llama-3-8B
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hubbub-sentiment_llama3
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4586
Accuracy: 0.8269
Precision: 0.8234
Recall: 0.8269
F1: 0.8235
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.821
0.9998
1406
0.8073
0.6595
0.7055
0.6595
0.5621
0.7134
1.9996
2812
0.6063
0.7508
0.7422
0.7508
0.7427
0.5814
2.9995
4218
0.4586
0.8269
0.8234
0.8269
0.8235
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
