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MNLP_M3_mcqa_model_v2 – AI Model by sophiargh | AlphaNeural AI
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MNLP_M3_mcqa_model_v2
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-0.6B-Base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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MNLP_M3_mcqa_model
This model is a fine-tuned version of
Qwen/Qwen3-0.6B-Base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2439
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.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: 0.01
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.2604
0.0649
1000
0.2616
0.2425
0.1299
2000
0.2582
0.2335
0.1948
3000
0.2510
0.2202
0.2598
4000
0.2430
0.2164
0.3247
5000
0.2459
0.2072
0.3897
6000
0.2439
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu126
Datasets 3.2.0
Tokenizers 0.21.0
