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sft-chatbot2 – AI Model by JasonBounre | AlphaNeural AI
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JasonBounre
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sft-chatbot2
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peft
safetensors
generated_from_trainer
meta-llama/Meta-Llama-3-8B
adapter
llama3
us
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sft-chatbot2
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: 0.8890
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: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
17
0.8223
No log
2.0
34
0.7790
No log
3.0
51
0.7755
No log
4.0
68
0.7868
No log
5.0
85
0.8287
No log
6.0
102
0.8845
No log
7.0
119
0.8892
No log
8.0
136
0.8890
Framework versions
PEFT 0.13.1
Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1
