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llama3.2-1b-emotion-analysis-6000-samples – AI Model by garypak | AlphaNeural AI
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llama3.2-1b-emotion-analysis-6000-samples
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transformers
pytorch
generated_from_trainer
meta-llama/Llama-3.2-1B
finetune
llama3.2
endpoints_compatible
us
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llama3.2-1b-emotion-analysis-6000-samples
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1378
Accuracy: 0.3147
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: 3e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use adamw_torch 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
Accuracy
3.0847
0.9981
328
2.1686
0.3147
2.3255
1.9992
657
2.3109
0.1272
2.1726
2.9943
984
2.1378
0.3147
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
