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Reset repository without checkpoints directories

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README.md ADDED
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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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+ model-index:
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+ - name: nl2bash-2ep-restore-hp
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+ results: []
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+ ---
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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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+
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+ # nl2bash-2ep-restore-hp
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+
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+ This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the DCAgent/nl2bash-2ep dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 128
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 6.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.56.0
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+ - Pytorch 2.7.0+cu128
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+ - Datasets 3.6.0
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+ - Tokenizers 0.22.1
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+ "achieved_tflops_per_gpu": 0.001193822706401171,
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+ "achieved_tflops_per_gpu_theoretical": 1124.784314857292,
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+ "train_steps_per_second": 0.332,
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+ "valid_targets_mean": 624.3,
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+ "valid_targets_min": 380
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+ }
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+ "vocab_size": 151936
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+ }
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