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tinystories_baseline_100k

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metadata
library_name: peft
license: apache-2.0
base_model: allenai/OLMo-7B-0724-hf
tags:
  - generated_from_trainer
model-index:
  - name: tinystories_baseline_100k
    results: []

tinystories_baseline_100k

This model is a fine-tuned version of allenai/OLMo-7B-0724-hf on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2252

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: 0.002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 256
  • optimizer: Use 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: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.2502 1.0230 400 1.2686
1.2066 2.0461 800 1.2472

Framework versions

  • PEFT 0.14.0
  • Transformers 4.49.0
  • Pytorch 2.6.0
  • Datasets 3.3.2
  • Tokenizers 0.21.0