EN_mt5-small_5_spider – AI Model by NatthawatTung | AlphaNeural AI

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NatthawatTung/
EN_mt5-small_5_spider

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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EN_mt5-small_5_spider

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: 0.5338
Rouge2 Precision: 0.2042
Rouge2 Recall: 0.1342
Rouge2 Fmeasure: 0.1432

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
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	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	438	3.8119	0.0019	0.0007	0.001
15.5014	2.0	876	1.4861	0.0065	0.0026	0.0036
2.1957	3.0	1314	0.7087	0.049	0.0434	0.041
1.1325	4.0	1752	0.5575	0.1566	0.1158	0.117
0.7173	5.0	2190	0.5338	0.2042	0.1342	0.1432

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.0