Untied-49K-tokenized-20B-v0.1

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Untied-49K-tokenized-20B-v0.1

This model is a fine-tuned version of allenai/OLMo-7B-0724-hf on the gartland/finewebedu-49K-tokenized-20B dataset.

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: 0.0006
• train_batch_size: 64
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 2
• total_train_batch_size: 256
• total_eval_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 700
• num_epochs: 1

Training results

Framework versions

• Transformers 4.49.0
• Pytorch 2.4.1+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2