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sequence_classification – AI Model by thenlpresearcher | AlphaNeural AI
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sequence_classification
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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sequence_classification
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2369
Pearson: 0.9678
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: 0.0001
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
0.2365
0.9377
No log
2.0
412
0.2136
0.9652
0.3209
3.0
618
0.2038
0.9631
0.3209
4.0
824
0.2379
0.9668
0.0314
5.0
1030
0.2369
0.9678
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
