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fake-news-llama – AI Model by chreh | AlphaNeural AI
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chreh
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fake-news-llama
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meta-llama/Llama-2-7b-hf
finetune
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fake-news-llama
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7457
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 2500
Training results
Training Loss
Epoch
Step
Validation Loss
1.7884
0.4
1000
1.7525
1.7122
0.8
2000
1.7457
Framework versions
Transformers 4.33.2
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3
