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learn3r/
bart_base_qgen

Name: bart_base_qgen
Availability: InStock

generated_from_trainer

learn3r/squad_with_test

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bart_base_qgen

This model is a fine-tuned version of facebook/bart-base on the learn3r/squad_with_test dataset. It achieves the following results on the evaluation set:

Loss: 1.4211

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.7237	1.0	171	1.5064
1.5995	2.0	342	1.4698
1.5289	3.0	513	1.4482
1.5082	4.0	684	1.4363
1.4782	5.0	855	1.4286
1.4084	6.0	1026	1.4265
1.4229	6.99	1197	1.4239
1.4	8.0	1369	1.4211
1.3865	9.0	1540	1.4215
1.3871	9.99	1710	1.4219

Framework versions

Transformers 4.32.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.8.0
Tokenizers 0.12.1

learn3r/bart_base_qgen

bart_base_qgen

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

learn3r/
bart_base_qgen