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Role_LLM_Cube – AI Model by Lie24 | AlphaNeural AI
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Lie24
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Role_LLM_Cube
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transformers
tensorboard
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
meta-llama/Llama-3.1-8B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
Files and Versions
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llama3.1-full-girlfriend-v2
This model is a fine-tuned version of
/home/llama/zxl_2024/model/Meta-Llama-3.1-8B-Instruct
on the output_girl_all dataset. It achieves the following results on the evaluation set:
Loss: 1.0679
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: 1e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.06
lr_scheduler_warmup_steps: 20
num_epochs: 6.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.6434
5.7143
200
1.0674
Framework versions
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
