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sigmoidds_chat_rmsprop_iter1

This model is a fine-tuned version of deepseek-ai/deepseek-llm-7b-chat on the reflection-gen/ds_chat_original_cn_mining_oj_iter0-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
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Dataset used to train yiran-wang3/sigmoid_ds_chat_rmsprop_iter1