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tjkmitl/
type2_pos_1

Name: type2_pos_1
Availability: InStock

generated_from_trainer

csebuetnlp/mT5_multilingual_XLSum

finetune

endpoints_compatible

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type2_pos_1

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: 2.9319

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: 2
eval_batch_size: 2
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
2.7093	0.63	500	2.9195
3.2641	1.25	1000	2.7276
2.3791	1.88	1500	2.6590
2.4823	2.51	2000	2.6422
2.3649	3.14	2500	2.6791
1.8109	3.76	3000	2.6492
1.7853	4.39	3500	2.6922
1.5986	5.02	4000	2.7080
1.71	5.65	4500	2.7670
1.6342	6.27	5000	2.8096
1.6734	6.9	5500	2.8439
1.4521	7.53	6000	2.8824
1.3753	8.16	6500	2.8878
1.8335	8.78	7000	2.9046
1.276	9.41	7500	2.9319

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

tjkmitl/type2_pos_1

type2_pos_1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tjkmitl/
type2_pos_1