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qwen3-2b-ablation-A-multi-answer – AI Model by cxrbon16 | AlphaNeural AI
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qwen3-2b-ablation-A-multi-answer
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transformers
safetensors
qwen3_5_text
text-generation
generated_from_trainer
conversational
Qwen/Qwen3.5-2B
finetune
apache-2.0
endpoints_compatible
us
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qwen3-2b-ablation-A-multi-answer
This model is a fine-tuned version of
Qwen/Qwen3-2B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8505
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 46
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: linear
lr_scheduler_warmup_steps: 0.03
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.9733
0.8889
20
0.9032
0.6871
1.7556
40
0.8520
0.6871
2.0
46
0.8505
Framework versions
Transformers 5.4.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
