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llama2-13b-chat-cf – AI Model by iestynmullinor | AlphaNeural AI
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llama2-13b-chat-cf
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meta-llama/Llama-2-13b-chat-hf
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This model is a fine-tuned version of
meta-llama/Llama-2-13b-chat-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9154
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: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2658
1.0
1734
0.9154
Framework versions
PEFT 0.7.2.dev0
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2
