distilbert-base-cased-distilled-squad – AI Model by anaghasavit | AlphaNeural AI

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anaghasavit/
distilbert-base-cased-distilled-squad

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distilbert-base-cased-distilled-squad

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1520

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	21	1.9314
No log	2.0	42	1.4240
No log	3.0	63	0.9511
No log	4.0	84	0.7214
No log	5.0	105	0.5664
No log	6.0	126	0.4253
No log	7.0	147	0.3588
No log	8.0	168	0.3017
No log	9.0	189	0.2381
No log	10.0	210	0.2086
No log	11.0	231	0.1909
No log	12.0	252	0.1763
No log	13.0	273	0.1590
No log	14.0	294	0.1540
No log	15.0	315	0.1520

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3