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alperengozeten/
distilbert-turkish-emotion

Name: distilbert-turkish-emotion
Availability: InStock

generated_from_trainer

dbmdz/distilbert-base-turkish-cased

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results

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

Loss: 0.1938
Accuracy: 0.9592

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9211	0.07	100	1.8456	0.3225
1.6177	0.14	200	1.2261	0.5982
0.8794	0.21	300	0.4865	0.8638
0.428	0.27	400	0.3350	0.8991
0.3189	0.34	500	0.2934	0.9128
0.2869	0.41	600	0.2728	0.9219
0.2776	0.48	700	0.2529	0.9267
0.2334	0.55	800	0.2609	0.9303
0.2314	0.62	900	0.2157	0.9369
0.2381	0.69	1000	0.1924	0.9431
0.2574	0.75	1100	0.2476	0.9260
0.2068	0.82	1200	0.1919	0.9429
0.241	0.89	1300	0.1865	0.9417
0.1894	0.96	1400	0.2022	0.9453
0.1791	1.03	1500	0.2078	0.9448
0.1131	1.1	1600	0.1995	0.9493
0.1082	1.17	1700	0.2074	0.9498
0.1088	1.23	1800	0.2139	0.9467
0.1123	1.3	1900	0.2086	0.9481
0.1083	1.37	2000	0.1964	0.9498
0.1318	1.44	2100	0.1872	0.9503
0.1016	1.51	2200	0.2005	0.9486
0.1415	1.58	2300	0.1918	0.9507
0.1292	1.64	2400	0.1848	0.9520
0.0939	1.71	2500	0.1870	0.9539
0.1301	1.78	2600	0.1950	0.9525
0.1415	1.85	2700	0.1955	0.9501
0.1474	1.92	2800	0.1797	0.9556
0.1169	1.99	2900	0.1767	0.9577
0.0562	2.06	3000	0.1847	0.9563
0.0653	2.12	3100	0.1839	0.9584
0.0431	2.19	3200	0.1853	0.9565
0.0289	2.26	3300	0.1922	0.9572
0.0507	2.33	3400	0.1989	0.9582
0.0475	2.4	3500	0.2009	0.9573
0.0434	2.47	3600	0.1959	0.9580
0.0479	2.54	3700	0.1942	0.9585
0.0421	2.6	3800	0.1986	0.9578
0.0496	2.67	3900	0.1947	0.9577
0.0452	2.74	4000	0.1938	0.9594
0.0329	2.81	4100	0.1936	0.9594
0.0568	2.88	4200	0.1934	0.9584
0.0441	2.95	4300	0.1938	0.9592

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

alperengozeten/distilbert-turkish-emotion

results

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

alperengozeten/
distilbert-turkish-emotion