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gallyamovi/
distilbert-finetuned-lr1e-06-epochs15

Name: distilbert-finetuned-lr1e-06-epochs15
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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distilbert-finetuned-lr1e-06-epochs15

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.2757

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: 1e-06
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	10	5.6504
No log	2.0	20	5.2434
No log	3.0	30	5.0184
No log	4.0	40	4.8701
No log	5.0	50	4.7490
No log	6.0	60	4.6484
No log	7.0	70	4.5643
No log	8.0	80	4.4868
No log	9.0	90	4.4270
No log	10.0	100	4.3773
No log	11.0	110	4.3402
No log	12.0	120	4.3126
No log	13.0	130	4.2930
No log	14.0	140	4.2805
No log	15.0	150	4.2757

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

gallyamovi/distilbert-finetuned-lr1e-06-epochs15

distilbert-finetuned-lr1e-06-epochs15

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gallyamovi/
distilbert-finetuned-lr1e-06-epochs15