NeoLLM

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.3300
• eval_runtime: 88.5321
• eval_samples_per_second: 170.277
• eval_steps_per_second: 2.666
• epoch: 0.96
• step: 45000

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: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
• num_epochs: 1

Framework versions

• Transformers 5.8.1
• Pytorch 2.12.0+cu130
• Datasets 4.8.5
• Tokenizers 0.22.2