t5-small-dagbani – AI Model by mohammednuruddin | AlphaNeural AI

You can deploy this model and start earning money today!

mohammednuruddin/
t5-small-dagbani

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

t5-small-dagbani

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

Loss: 3.4567
Rouge1: 2.9794
Rouge2: 0.0784
Rougel: 2.9416
Rougelsum: 3.0119
Gen Len: 9.5392

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.8983	1.0	455	3.6240	1.1964	0.0	1.193	1.2108	9.7647
3.6379	2.0	910	3.5350	1.3174	0.0	1.3085	1.3079	9.4902
3.9076	3.0	1365	3.4915	2.1136	0.0	2.0703	2.1291	9.5980
3.8679	4.0	1820	3.4649	2.8498	0.0784	2.8294	2.8802	9.5098
3.9169	5.0	2275	3.4567	2.9794	0.0784	2.9416	3.0119	9.5392

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1