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sft-chatbot – AI Model by JasonBounre | AlphaNeural AI
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JasonBounre
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sft-chatbot
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peft
safetensors
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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sft-chatbot
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8663
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.9836
30
0.7847
No log
2.0
61
0.7587
No log
2.9836
91
0.7729
No log
4.0
122
0.8109
No log
4.9836
152
0.8601
No log
5.9016
180
0.8663
Framework versions
PEFT 0.13.1
Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1
