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21e6f667-1b4f-43b3-9117-44b455ed8d1b

PEFT
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axolotl
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metadata
library_name: peft
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: 21e6f667-1b4f-43b3-9117-44b455ed8d1b
    results: []

Built with Axolotl

21e6f667-1b4f-43b3-9117-44b455ed8d1b

This model is a fine-tuned version of Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2209

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: 0.000211
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 110
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
No log 0.0006 1 1.6972
0.6301 0.0307 50 0.7841
0.5207 0.0613 100 0.7849
0.4508 0.0920 150 0.5248
0.3927 0.1226 200 0.5356
0.3716 0.1533 250 0.3826
0.3506 0.1839 300 0.3516
0.326 0.2146 350 0.2691
0.2517 0.2452 400 0.2358
0.2535 0.2759 450 0.2240
0.3353 0.3066 500 0.2209

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1