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results – AI Model by HappyFlowerchan | AlphaNeural AI
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peft
tensorboard
safetensors
generated_from_trainer
rinna/japanese-gpt-neox-3.6b
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mit
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This model is a fine-tuned version of
rinna/japanese-gpt-neox-3.6b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.3241
Model Preparation Time: 0.0028
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
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
25.4089
0.9711
21
3.0678
0.0028
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
