swesmith-2stage-restore-hp

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swesmith-2stage-restore-hp

This model is a fine-tuned version of mlfoundations-dev/freelancer-projects-sandboxes-traces-terminus-2 on the mlfoundations-dev/swesmith_with_plain_docker-sandboxes-traces-terminus-2 dataset.

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: 4e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• total_train_batch_size: 16
• total_eval_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
• num_epochs: 6.0

Training results

Framework versions

• Transformers 4.56.0
• Pytorch 2.7.0+cu128
• Datasets 3.6.0
• Tokenizers 0.22.1