62 lines
2.1 KiB
Markdown
62 lines
2.1 KiB
Markdown
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---
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library_name: transformers
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license: other
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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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model-index:
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- name: sft__glm46-neulab-agenttuning-alfworld-sandboxes-maxeps-131k-glm46-swesmith-maxeps-131k-GLM-4-7
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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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# sft__glm46-neulab-agenttuning-alfworld-sandboxes-maxeps-131k-glm46-swesmith-maxeps-131k-GLM-4-7
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This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the /e/data1/datasets/playground/ot/hf_hub/datasets--penfever--glm46-neulab-agenttuning-alfworld-sandboxes-maxeps-131k/snapshots/fdb0d0afe08aa3c31c7605b40c18d5e48fdc206c_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--penfever--glm46-swesmith-maxeps-131k/snapshots/4d4c2d4a9d21f73870ed31c7bc6028035b3b6ca7_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent2--GLM-4.7-r2egym_sandboxes-maxeps-131k/snapshots/167ff86e8203fa2412574480bf52623cb62320e8_thinking_preprocessed and the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent2--glm46-swegym-tasks-maxeps-131k/snapshots/bc7a253d567261d84db295a138b8af86eac6ae4c_thinking_preprocessed datasets.
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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: 4e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 48
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 96
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- total_eval_batch_size: 384
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) 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: 7.0
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### Training results
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### Framework versions
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- Transformers 4.57.6
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- Pytorch 2.9.1+cu130
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- Datasets 4.7.0
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- Tokenizers 0.22.2
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