NeoLLM

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

• Loss: 2.7250

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_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
3.7833	0.1067	5000	3.6697
3.4271	0.2133	10000	3.2796
3.2851	0.32	15000	3.1214
3.2115	0.4267	20000	3.0228
3.166	0.5333	25000	2.9708
3.118	0.64	30000	2.9159
3.0656	0.7467	35000	2.8546
2.9881	0.8533	40000	2.7819
2.9405	0.96	45000	2.7250

Framework versions

• Transformers 4.57.6
• Pytorch 2.10.0+cu130
• Datasets 4.5.0
• Tokenizers 0.22.2