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test_1M_1-2025-02-13-15-21

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metadata
library_name: peft
base_model: roneneldan/TinyStories-1M
tags:
  - generated_from_trainer
model-index:
  - name: test_1M_1-2025-02-13-15-21
    results: []

test_1M_1-2025-02-13-15-21

This model is a fine-tuned version of roneneldan/TinyStories-1M on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5581

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: 2.5e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss
2.4208 3.9983 2375 2.5581

Framework versions

  • PEFT 0.14.0
  • Transformers 4.48.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0