whisper_4_with_init_sun_char_0035

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.8933
• Train Accuracy: 0.0432
• Train Wermet: 0.0682
• Validation Loss: 1.8761
• Validation Accuracy: 0.0295
• Validation Wermet: 0.1173
• Epoch: 34

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
3.2071	0.0313	0.1237	2.8546	0.0225	0.1109	0
3.0365	0.0325	0.0375	2.8115	0.0228	0.1215	1
3.0162	0.0326	0.0484	2.7884	0.0231	0.1318	2
3.0042	0.0327	0.0555	2.7853	0.0233	0.1393	3
2.9934	0.0328	0.0614	2.7657	0.0232	0.1273	4
2.9858	0.0329	0.0654	2.7542	0.0234	0.1073	5
2.9735	0.0330	0.0673	2.7367	0.0234	0.1414	6
2.9574	0.0332	0.0704	2.6961	0.0240	0.1429	7
2.9320	0.0335	0.0723	2.6652	0.0239	0.0990	8
2.8976	0.0339	0.0729	2.5997	0.0245	0.0944	9
2.8460	0.0343	0.0728	2.5378	0.0248	0.1435	10
2.7781	0.0347	0.0741	2.4355	0.0254	0.1372	11
2.7083	0.0352	0.0747	2.5163	0.0248	0.0987	12
2.6445	0.0356	0.0720	2.2997	0.0261	0.1484	13
2.5838	0.0360	0.0724	2.2386	0.0266	0.1419	14
2.5294	0.0363	0.0721	2.1855	0.0269	0.1289	15
2.4760	0.0367	0.0711	2.1682	0.0271	0.1214	16
2.4339	0.0370	0.0698	2.1018	0.0273	0.1264	17
2.3867	0.0373	0.0684	2.0647	0.0275	0.1403	18
2.3528	0.0376	0.0669	2.0705	0.0275	0.1089	19
2.3145	0.0379	0.0658	2.0179	0.0280	0.1209	20
2.2765	0.0382	0.0654	2.0182	0.0279	0.1023	21
2.2415	0.0385	0.0650	1.9558	0.0284	0.1523	22
2.2102	0.0388	0.0643	1.9395	0.0285	0.1123	23
2.1717	0.0392	0.0635	1.9791	0.0282	0.0928	24
2.1457	0.0395	0.0626	1.8907	0.0291	0.1078	25
2.1159	0.0398	0.0633	1.8930	0.0290	0.1098	26
2.0892	0.0401	0.0638	1.8696	0.0292	0.1078	27
2.0609	0.0405	0.0659	1.8555	0.0296	0.1051	28
2.0342	0.0409	0.0639	1.8589	0.0293	0.1092	29
2.0044	0.0413	0.0653	1.8375	0.0299	0.1015	30
1.9831	0.0416	0.0649	1.7954	0.0302	0.1194	31
1.9535	0.0421	0.0689	1.7937	0.0302	0.1168	32
1.9290	0.0425	0.0706	1.8385	0.0299	0.1074	33
1.8933	0.0432	0.0682	1.8761	0.0295	0.1173	34

Framework versions

• Transformers 4.34.0.dev0
• TensorFlow 2.13.0
• Tokenizers 0.13.3