t2t-gun-nlth-from-base

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

• Loss: 6.3261

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
6.6795	0.55	4000	6.5678
6.5538	1.1	8000	6.4805
6.4744	1.65	12000	6.4086
6.3835	2.2	16000	6.3552
6.3875	2.74	20000	6.3261

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.2+cu121
• Datasets 2.15.0
• Tokenizers 0.15.1