aragpt2-transport-autocomplete – AI Model by ans2004 | AlphaNeural AI

You can deploy this model and start earning money today!

ans2004/
aragpt2-transport-autocomplete

like

0

text-generation

generated_from_trainer

aubmindlab/aragpt2-base

text-generation-inference

endpoints_compatible

Views

No views yet

aragpt2-transport-autocomplete

This model is a fine-tuned version of aubmindlab/aragpt2-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5047

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: cosine
lr_scheduler_warmup_steps: 150
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
6.9371	1.1236	100	5.0896
3.5858	2.2472	200	2.8953
2.3939	3.3708	300	2.4553
1.7935	4.4944	400	2.4373
1.4304	5.6180	500	2.3790
1.2880	6.7416	600	2.4508
1.0935	7.8652	700	2.5212
1.1357	8.9888	800	2.5047

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2