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full_sft_v0_4_mcp-qwen3-8b – AI Model by yueqis | AlphaNeural AI
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full_sft_v0_4_mcp-qwen3-8b
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transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen3-8B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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full_sft_v0_4_mcp-qwen3-8b
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the full_sft_v0.4_mcp dataset. It achieves the following results on the evaluation set:
Loss: 0.4661
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: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.3769
0.8912
1000
0.4663
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
