Mymt5-small-test – AI Model by thabat | AlphaNeural AI

You can deploy this model and start earning money today!

thabat/
Mymt5-small-test

like

0

text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

Views

No views yet

Mymt5-small-test

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 16.9555
Rouge1: 5.3063
Rouge2: 0.3834
Rougel: 4.7129
Rougelsum: 4.769

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: 5.6e-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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
32.0529	1.0	10	22.9068	4.148	0.2063	4.0534	4.0281
26.8483	2.0	20	20.5579	4.2091	0.2815	4.2287	4.2414
26.3936	3.0	30	19.4139	4.199	0.2051	4.1823	4.1637
24.8239	4.0	40	18.3165	4.2308	0.2812	4.2404	4.2749
24.0505	5.0	50	17.3909	4.9556	0.486	4.6229	4.6138
23.8294	6.0	60	17.0988	5.4206	0.5003	4.7981	4.7944
22.7513	7.0	70	16.9862	5.3119	0.3966	4.814	4.7785
22.836	8.0	80	16.9555	5.393	0.3829	4.7334	4.8031

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1