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TanmoyeeRoy/
distilbert_intent

Name: distilbert_intent
Rating: 2.5 (6 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

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distilbert_intent

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

Loss: 0.0001
Accuracy: 1.0

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-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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2702	1.0	690	0.0219	0.9968
0.0172	2.0	1380	0.0084	0.9989
0.0045	3.0	2070	0.0044	0.9989
0.0021	4.0	2760	0.0033	0.9989
0.0015	5.0	3450	0.0025	0.9996
0.0007	6.0	4140	0.0011	0.9996
0.0004	7.0	4830	0.0008	0.9996
0.0002	8.0	5520	0.0006	1.0
0.0002	9.0	6210	0.0006	0.9996
0.0001	10.0	6900	0.0005	1.0
0.0001	11.0	7590	0.0004	1.0
0.0001	12.0	8280	0.0004	0.9996
0.0	13.0	8970	0.0006	0.9996
0.0	14.0	9660	0.0003	1.0
0.0	15.0	10350	0.0002	1.0
0.0	16.0	11040	0.0003	0.9996
0.0	17.0	11730	0.0003	0.9996
0.0	18.0	12420	0.0003	1.0
0.0	19.0	13110	0.0002	1.0
0.0	20.0	13800	0.0002	1.0
0.0	21.0	14490	0.0003	1.0
0.0	22.0	15180	0.0003	0.9996
0.0	23.0	15870	0.0002	1.0
0.0	24.0	16560	0.0004	0.9996
0.0	25.0	17250	0.0002	1.0
0.0	26.0	17940	0.0002	1.0
0.0	27.0	18630	0.0003	0.9996
0.0	28.0	19320	0.0001	1.0
0.0	29.0	20010	0.0002	1.0
0.0	30.0	20700	0.0002	1.0
0.0	31.0	21390	0.0002	1.0
0.0	32.0	22080	0.0001	1.0
0.0	33.0	22770	0.0001	1.0
0.0	34.0	23460	0.0001	1.0
0.0	35.0	24150	0.0001	1.0
0.0	36.0	24840	0.0001	1.0
0.0	37.0	25530	0.0001	1.0
0.0	38.0	26220	0.0001	1.0
0.0	39.0	26910	0.0001	1.0
0.0	40.0	27600	0.0001	1.0
0.0	41.0	28290	0.0001	1.0
0.0	42.0	28980	0.0001	1.0
0.0	43.0	29670	0.0001	1.0
0.0	44.0	30360	0.0001	1.0
0.0	45.0	31050	0.0001	1.0
0.0	46.0	31740	0.0001	1.0
0.0	47.0	32430	0.0001	1.0
0.0	48.0	33120	0.0001	1.0
0.0	49.0	33810	0.0001	1.0
0.0	50.0	34500	0.0001	1.0

Framework versions

Transformers 4.41.2
Pytorch 2.3.1
Datasets 2.19.2
Tokenizers 0.19.1

TanmoyeeRoy/distilbert_intent

distilbert_intent

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TanmoyeeRoy/
distilbert_intent