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llama-3-8b-QA – AI Model by ShahlaDnshi96 | AlphaNeural AI
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llama-3-8b-QA
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
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llama-3-8b-QA
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0577
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.5062
0.2034
48
0.4264
0.1255
0.4068
96
0.1244
0.0849
0.6102
144
0.0687
0.0347
0.8136
192
0.0577
Framework versions
PEFT 0.13.1
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
