67 lines
1.7 KiB
Markdown
67 lines
1.7 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-0.6B-Base
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tags:
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- generated_from_trainer
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model-index:
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- name: MNLP_M3_mcqa_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# MNLP_M3_mcqa_model
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This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2439
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.2604 | 0.0649 | 1000 | 0.2616 |
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| 0.2425 | 0.1299 | 2000 | 0.2582 |
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| 0.2335 | 0.1948 | 3000 | 0.2510 |
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| 0.2202 | 0.2598 | 4000 | 0.2430 |
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| 0.2164 | 0.3247 | 5000 | 0.2459 |
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| 0.2072 | 0.3897 | 6000 | 0.2439 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu126
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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