Future.GQ.47s

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.6928

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: 0.00015
• train_batch_size: 4
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• 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: cosine
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.9503	0.9889	100	1.8953
1.9503	1.0	102	1.8949
4.8422	0.2032	200	4.6299
3.7624	0.3048	300	3.7300
3.2549	0.4064	400	3.2797
3.0663	0.5080	500	3.0268
2.8727	0.6096	600	2.8719
2.7585	0.7112	700	2.7737
2.7077	0.8129	800	2.7186
2.6603	0.9145	900	2.6958
2.6459	1.0	985	2.6928

Framework versions

• Transformers 5.14.1
• Pytorch 2.10.0+cu128
• Datasets 5.0.1
• Tokenizers 0.22.2