68 lines
1.5 KiB
Markdown
68 lines
1.5 KiB
Markdown
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---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-8B
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Qwen3-8B-SFT-envbench_qwen-green-yellow
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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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# Qwen3-8B-SFT-envbench_qwen-green-yellow
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This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the envbench_qwen-green-yellow dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1656
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- Accuracy: 0.9472
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- Num Input Tokens Seen: 2242920
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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: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- total_eval_batch_size: 4
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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: 0.1
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- num_epochs: 5.0
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### Training results
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.6.0a0+df5bbc09d1.nv24.12
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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