distilbert-base-uncased-finetuned-squad – AI Model by bornadr | AlphaNeural AI

You can deploy this model and start earning money today!

bornadr/
distilbert-base-uncased-finetuned-squad

like

0

question-answering

generated_from_trainer

distilbert/distilbert-base-uncased

endpoints_compatible

Views

No views yet

distilbert-base-uncased-finetuned-squad

This model is a fine-tuned version of distilbert-base-uncased on the squad_v2 dataset. It achieves the following results on the evaluation set:

Loss: 2.5771

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: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	165	2.3594
No log	2.0	331	2.0377
No log	3.0	496	2.1027
2.3369	4.0	662	2.3600
2.3369	5.0	827	2.3394
2.3369	6.0	993	2.3088
1.0993	7.0	1158	2.4273
1.0993	8.0	1324	2.5872
1.0993	9.0	1489	2.5156
0.774	9.97	1650	2.5771

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0