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

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amartyobanerjee/
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 the None dataset. It achieves the following results on the evaluation set:

Loss: 3.0294
Rouge1: 16.497
Rouge2: 8.0618
Rougel: 16.2979
Rougelsum: 16.1465

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
6.5928	1.0	1209	3.3005	14.7843	6.5518	14.2805	14.2951
3.9024	2.0	2418	3.1399	16.8202	8.6739	16.1194	16.0844
3.5806	3.0	3627	3.0869	18.1223	9.3051	17.7533	17.7254
3.4201	4.0	4836	3.0590	17.654	9.0154	17.1853	17.1769
3.3202	5.0	6045	3.0598	17.612	8.6707	17.4662	17.2963
3.2436	6.0	7254	3.0409	16.7938	8.3054	16.6141	16.4853
3.2079	7.0	8463	3.0332	16.7246	8.2362	16.5065	16.3611
3.1801	8.0	9672	3.0294	16.497	8.0618	16.2979	16.1465

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1