llama-68m-oasst / README.md
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metadata
license: other
base_model: NowaBwagel0/llama-68m-oasst
tags:
  - generated_from_trainer
model-index:
  - name: llama-68m-oasst
    results: []

llama-68m-oasst

This model is a fine-tuned version of NowaBwagel0/llama-68m-oasst on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5789

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 9

Training results

Training Loss Epoch Step Validation Loss
2.419 1.0 382 2.5825
2.3379 2.0 765 2.5723
2.342 3.0 1147 2.5697
2.2454 4.0 1530 2.5703
2.2138 5.0 1912 2.5706
2.2369 6.0 2295 2.5736
2.1838 7.0 2677 2.5762
2.1834 8.0 3060 2.5769
2.0677 8.99 3438 2.5789

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0