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MNLP_M3_rag_model_v4 – AI Model by cam-1000 | AlphaNeural AI
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cam-1000
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MNLP_M3_rag_model_v4
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
sophiargh/MNLP_M3_mcqa_model
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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MNLP_M3_rag_model_v4
This model is a fine-tuned version of
sophiargh/MNLP_M3_mcqa_model
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8707
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
0.7279
0.0228
100
0.8089
0.7328
0.0456
200
0.7907
0.584
0.0683
300
0.8175
0.6671
0.0911
400
0.8707
Framework versions
Transformers 4.52.3
Pytorch 2.7.0+cu126
Datasets 3.2.0
Tokenizers 0.21.0
