ptsv/tinystories_baseline

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>

tinystories_baseline

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: 2.2266

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: 0.001
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 128
• —optimizer: Use pagedadamw8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.47.0
• —Pytorch 2.4.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0