ds_coder6.7b_rmsprop_iter5

This model is a fine-tuned version of yiran-wang3/ds_coder6.7b_rmsprop_iter4 on the reflection-gen/ds_coder6.7b_rmsprop_iter4_sppo_hard_new_cn_mining_oj_iter4-binarized 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: 5e-07
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 100
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.45.0
• Pytorch 2.4.0+cu121
• Datasets 2.14.6
• Tokenizers 0.20.3