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ldcc-finetuning

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metadata
license: cc-by-nc-4.0
library_name: peft
tags:
  - generated_from_trainer
base_model: LDCC/LDCC-SOLAR-10.7B
model-index:
  - name: LDCC-finetuning
    results: []

LDCC-finetuning

This model is a fine-tuned version of LDCC/LDCC-SOLAR-10.7B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6884

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: 0.0002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.7581 1.0 21 0.7133
0.612 2.0 42 0.6810
0.4944 3.0 63 0.6884

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2