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Chetna19/
BART_subjqa_model_v3

Name: BART_subjqa_model_v3
Availability: InStock

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BART_subjqa_model_v3

This model is a fine-tuned version of valhalla/bart-large-finetuned-squadv1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 8.2682

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
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
No log	1.0	103	7.2154
No log	2.0	206	7.3315
No log	3.0	309	7.5881
No log	4.0	412	8.0160
0.0572	5.0	515	8.2682

Framework versions

Transformers 4.28.0
Pytorch 1.13.0a0+d321be6
Datasets 2.12.0
Tokenizers 0.13.3

Chetna19/BART_subjqa_model_v3

BART_subjqa_model_v3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Chetna19/
BART_subjqa_model_v3