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R2EGym-32B-Agent-Coder-R2egym-mid-post-step1746 – AI Model by lllqaq | AlphaNeural AI
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R2EGym-32B-Agent-Coder-R2egym-mid-post-step1746
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R2EGym-32B-Agent-Coder-R2egym-mid-post-step1746
This model is a fine-tuned version of the local checkpoint
v2v3_from_sample10_step1746
on the R2EGym_SFT_Trajectories 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 2.0
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.7.1+cu128
Datasets 4.0.0
Tokenizers 0.22.2
