mt5-small-finetuned-amazon-en-es – AI Model by phuongntc | AlphaNeural AI

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phuongntc/
mt5-small-finetuned-amazon-en-es

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned-amazon-en-es

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: 0.9244
Rouge1: 0.5412
Rouge2: 0.3832
Rougel: 0.4817
Rougelsum: 0.4830

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
1.5355	1.0	813	1.1694	0.4857	0.2942	0.4036	0.4050
1.4589	2.0	1626	1.0231	0.5091	0.3331	0.4400	0.4410
1.3205	3.0	2439	1.0102	0.5346	0.3690	0.4722	0.4724
1.2304	4.0	3252	0.9553	0.5380	0.3732	0.4732	0.4740
1.1681	5.0	4065	0.9355	0.5409	0.3735	0.4733	0.4744
1.1245	6.0	4878	0.9136	0.5408	0.3770	0.4775	0.4787
1.1014	7.0	5691	0.9161	0.5430	0.3816	0.4814	0.4828
1.0824	8.0	6504	0.9244	0.5412	0.3832	0.4817	0.4830

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1