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swesmith-2stage-restore-hp – AI Model by penfever | AlphaNeural AI
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swesmith-2stage-restore-hp
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transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
conversational
apache-2.0
text-generation-inference
endpoints_compatible
us
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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
