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llama-3.1-8b-stsb-lora – AI Model by ASethi04 | AlphaNeural AI
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ASethi04
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llama-3.1-8b-stsb-lora
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
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llama-3.1-8b-stsb-lora
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8682
Pearson: 0.8799
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: 5e-05
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
0.5547
0.9998
2874
0.5223
0.8723
0.4043
2.0
5749
0.6872
0.8776
0.4044
2.9998
8623
0.8682
0.8799
0.0951
3.9993
11496
1.1905
0.8783
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.19.0
Tokenizers 0.20.1
