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llama3.18b-icd-finetune – AI Model by niteshagarwala | AlphaNeural AI
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niteshagarwala
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llama3.18b-icd-finetune
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peft
safetensors
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
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llama3.18b-icd-finetune
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3603
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 300
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.6465
0.4938
50
0.5192
1.844
0.9877
100
0.4130
1.582
1.4741
150
0.3835
1.4982
1.9679
200
0.3685
1.412
2.4543
250
0.3624
1.402
2.9481
300
0.3603
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
