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e22vvb/
mt5-base_EN_TH_sch_wiki_TH_spider_1000

Name: mt5-base_EN_TH_sch_wiki_TH_spider_1000
Availability: InStock

pytorch

safetensors

mt5

generated_from_trainer

e22vvb/ALL_mt5-base_15_wikiSQL_sch

finetune

apache-2.0

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mt5-base_EN_TH_sch_wiki_TH_spider_1000

This model is a fine-tuned version of e22vvb/ALL_mt5-base_15_wikiSQL_sch on the None dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge2 Precision: 0.1616
Rouge2 Recall: 0.1191
Rouge2 Fmeasure: 0.1234

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
1.0	9693	nan	0.1616	0.1191	0.1234
2.0	19386	nan	0.1616	0.1191	0.1234
3.0	29079	nan	0.1616	0.1191	0.1234
4.0	38772	nan	0.1616	0.1191	0.1234
5.0	48465	nan	0.1616	0.1191	0.1234
6.0	58158	nan	0.1616	0.1191	0.1234
7.0	67851	nan	0.1616	0.1191	0.1234
8.0	77544	nan	0.1616	0.1191	0.1234
9.0	87237	nan	0.1616	0.1191	0.1234
10.0	96930	nan	0.1616	0.1191	0.1234
11.0	106623	nan	0.1616	0.1191	0.1234
12.0	116316	nan	0.1616	0.1191	0.1234
13.0	126009	nan	0.1616	0.1191	0.1234
14.0	135702	nan	0.1616	0.1191	0.1234
15.0	145395	nan	0.1616	0.1191	0.1234

Framework versions

Transformers 4.38.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.1

e22vvb/mt5-base_EN_TH_sch_wiki_TH_spider_1000

mt5-base_EN_TH_sch_wiki_TH_spider_1000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

e22vvb/
mt5-base_EN_TH_sch_wiki_TH_spider_1000