intern_orca_ft2_out / README.md
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InternLM2-1.8B-OpenOrca
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metadata
base_model: internlm/internlm2-1_8b
library_name: peft
license: other
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: intern_orca_ft2_out
    results: []

intern_orca_ft2_out

This model is a fine-tuned version of internlm/internlm2-1_8b on an unknown 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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1.0

Framework versions

  • PEFT 0.12.0
  • Transformers 4.43.0.dev0
  • Pytorch 2.2.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1