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tjkmitl/
GeneralNews_2_loadbest_10000rows

Name: GeneralNews_2_loadbest_10000rows
Availability: InStock

generated_from_trainer

csebuetnlp/mT5_multilingual_XLSum

finetune

endpoints_compatible

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GeneralNews_9_loadbest

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7052

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
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.4665	1.0	500	3.0865
3.2219	2.0	1000	2.8680
3.0254	3.0	1500	2.7771
2.8798	4.0	2000	2.7572
2.7943	5.0	2500	2.7339
2.6988	6.0	3000	2.7126
2.4587	7.0	3500	2.7086
2.4769	8.0	4000	2.7076
2.5388	9.0	4500	2.7075
2.4411	10.0	5000	2.7052

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1

tjkmitl/GeneralNews_2_loadbest_10000rows

GeneralNews_9_loadbest

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tjkmitl/
GeneralNews_2_loadbest_10000rows