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llama_sequence_classification_0.001 – AI Model by thenlpresearcher | AlphaNeural AI
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llama_sequence_classification_0.001
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
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llama_sequence_classification_0.001
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: 0.6358
Pearson: 0.8409
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: 0.001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
No log
1.0
206
2.3639
-0.0967
No log
2.0
412
1.1565
0.5814
1.1834
3.0
618
0.6501
0.8695
1.1834
4.0
824
1.6244
0.7826
0.8975
5.0
1030
0.6358
0.8409
Framework versions
PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 3.2.0
Tokenizers 0.20.3
