t5-small-finetune-dzongkha-to-romanized – AI Model by caffsean | AlphaNeural AI

You can deploy this model and start earning money today!

caffsean/
t5-small-finetune-dzongkha-to-romanized

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

t5-small-finetune-dzongkha-to-romanized

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.5253
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 2.1667

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	90	4.5253	0.0	0.0	0.0	0.0	2.1667
No log	2.0	180	4.5253	0.0	0.0	0.0	0.0	2.1667
No log	3.0	270	4.5253	0.0	0.0	0.0	0.0	2.1667
No log	4.0	360	4.5253	0.0	0.0	0.0	0.0	2.1667
No log	5.0	450	4.5253	0.0	0.0	0.0	0.0	2.1667
4.7286	6.0	540	4.5253	0.0	0.0	0.0	0.0	2.1667
4.7286	7.0	630	4.5253	0.0	0.0	0.0	0.0	2.1667
4.7286	8.0	720	4.5253	0.0	0.0	0.0	0.0	2.1667
4.7286	9.0	810	4.5253	0.0	0.0	0.0	0.0	2.1667
4.7286	10.0	900	4.5253	0.0	0.0	0.0	0.0	2.1667

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2