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llama3-section-classifier-10ksamples-1epoch – AI Model by dklpp | AlphaNeural AI
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dklpp
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llama3-section-classifier-10ksamples-1epoch
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peft
tensorboard
safetensors
adapter
lora
transformers
meta-llama/Llama-3.1-8B-Instruct
llama3.1
us
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llama3-section-classifier-10ksamples-1epoch
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9118
Accuracy: 0.6895
Precision: 0.6843
Recall: 0.6895
F1: 0.6845
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: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
7.2784
1.0
3094
0.9118
0.6895
0.6843
0.6895
0.6845
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
