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Qwen3-8B-occam-plan-sft_0125 – AI Model by Rain-air | AlphaNeural AI
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Qwen3-8B-occam-plan-sft_0125
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transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen3-8B
finetune
mit
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
Qwen/Qwen3-8B
on the occam-plan dataset. It achieves the following results on the evaluation set:
Loss: 0.1479
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: 4
total_train_batch_size: 16
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_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.3684
0.3067
100
0.3841
0.2599
0.6135
200
0.2527
0.2264
0.9202
300
0.1952
0.1263
1.2270
400
0.1717
0.1404
1.5337
500
0.1562
0.1036
1.8405
600
0.1482
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.2
