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

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m-goltsova/
mt5-small-finetuned-amazon-en-es

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mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.0188
Rouge1: 17.6619
Rouge2: 8.3964
Rougel: 17.21
Rougelsum: 17.2957

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
3.4234	1.0	1209	3.1341	17.233	7.9616	16.5414	16.5818
3.4147	2.0	2418	3.0394	17.3591	8.5266	16.9602	16.9247
3.272	3.0	3627	3.0367	17.496	8.7609	17.009	17.073
3.1892	4.0	4836	3.0285	17.0912	7.7096	16.4184	16.4531
3.1275	5.0	6045	3.0354	17.9638	8.8784	17.5191	17.5614
3.0678	6.0	7254	3.0274	18.0478	8.815	17.6459	17.7625
3.0417	7.0	8463	3.0231	17.4989	8.4363	17.1651	17.2614
3.02	8.0	9672	3.0188	17.6619	8.3964	17.21	17.2957

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2