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sb_v4_fixed_1_epoch – AI Model by Luxinos | AlphaNeural AI
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sb_v4_fixed_1_epoch
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transformers
safetensors
qwen3_vl
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
inclusionAI/ZwZ-8B
finetune
other
endpoints_compatible
us
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sb_bot_inclusion_ai_dataset_v4_1_epoch_fix
This model is a fine-tuned version of
inclusionAI/ZwZ-8B
on the survey_botv3 dataset. It achieves the following results on the evaluation set:
Loss: 0.4016
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-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20.0
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.5273
0.2222
50
0.5182
0.4480
0.4444
100
0.4484
0.4368
0.6667
150
0.4153
0.3916
0.8889
200
0.4025
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
