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URL: https://huggingface.co/ToastyPigeon/intern-rp-lora

โ‡ฑ ToastyPigeon/intern-rp-lora ยท Hugging Face


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intern-rp-lora

This model is a fine-tuned version of internlm/internlm3-8b-instruct on the ToastyPigeon/some-rp, the BeaverAI/cedo-unalignment, the BeaverAI/foundRP, the PocketDoc/Dans-Prosemaxx-Gutenberg, the ToastyPigeon/SpringDragon-Instruct, the allenai/tulu-3-sft-personas-instruction-following and the allura-org/fujin-cleaned-stage-2 datasets. It achieves the following results on the evaluation set:

  • Loss: 1.7197

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: 3e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 69
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 4
  • total_eval_batch_size: 4
  • optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are: No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
2.2794 0.0013 1 1.8317
1.6416 0.1 75 1.7826
2.3547 0.2 150 1.7643
1.9114 0.3 225 1.7546
2.0004 0.4 300 1.7474
2.2052 0.5 375 1.7428
1.9314 0.6 450 1.7377
2.202 0.7 525 1.7350
2.2453 0.8 600 1.7303
1.8392 0.9 675 1.7283
1.7018 1.0 750 1.7271
1.9736 1.0987 825 1.7264
2.0917 1.1987 900 1.7245
1.5679 1.2987 975 1.7239
2.0799 1.3987 1050 1.7225
1.8398 1.4987 1125 1.7220
1.9806 1.5987 1200 1.7211
1.7334 1.6987 1275 1.7209
2.1457 1.7987 1350 1.7205
1.7804 1.8987 1425 1.7202
2.1652 1.9987 1500 1.7197

Framework versions

  • PEFT 0.14.0
  • Transformers 4.47.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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