finewebedu-98K-lr1.2e-3-seed42
This model is a fine-tuned version of allenai/OLMo-7B-0724-hf on the gartland/finewebedu-98K-tokenized 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: 0.0012
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Use 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 4.47.1
- Pytorch 2.4.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0