metadata

license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_keras_callback
model-index:
  - name: whisper_charsplit_new_0029
    results: []

whisper_charsplit_new_0029

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: 0.0114
Train Accuracy: 0.0794
Train Wermet: 11.3093
Validation Loss: 0.4431
Validation Accuracy: 0.0758
Validation Wermet: 9.5545
Epoch: 28

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
0.8733	0.0602	13.0686	0.6470	0.0676	11.4066	0
0.5740	0.0666	12.7778	0.5113	0.0706	11.1022	1
0.4553	0.0692	12.2404	0.4371	0.0723	10.9105	2
0.3813	0.0708	11.9157	0.3935	0.0733	9.4615	3
0.3292	0.0720	11.5732	0.3630	0.0740	9.9885	4
0.2886	0.0729	11.5171	0.3403	0.0745	9.8042	5
0.2561	0.0736	11.3173	0.3256	0.0749	9.9431	6
0.2282	0.0743	11.7308	0.3159	0.0752	9.2086	7
0.2036	0.0748	11.4503	0.3071	0.0754	9.5236	8
0.1820	0.0754	11.7175	0.3005	0.0756	10.0755	9
0.1628	0.0758	11.7056	0.2993	0.0757	9.9497	10
0.1450	0.0762	11.7637	0.2971	0.0758	10.1481	11
0.1287	0.0766	11.8509	0.3029	0.0759	10.2042	12
0.1140	0.0770	12.1100	0.3004	0.0760	10.3873	13
0.0998	0.0773	11.9502	0.3025	0.0761	10.7066	14
0.0872	0.0777	12.3196	0.3129	0.0759	10.7707	15
0.0760	0.0779	12.2637	0.3142	0.0761	10.2638	16
0.0651	0.0782	12.1215	0.3192	0.0761	10.0750	17
0.0547	0.0785	12.0551	0.3294	0.0761	10.4732	18
0.0463	0.0787	11.9677	0.3402	0.0760	10.2814	19
0.0386	0.0789	11.6855	0.3517	0.0760	10.0599	20
0.0318	0.0790	11.6314	0.3628	0.0760	9.6652	21
0.0262	0.0792	11.4603	0.3728	0.0760	10.0035	22
0.0224	0.0792	11.4330	0.3824	0.0760	9.1995	23
0.0181	0.0793	11.3124	0.3982	0.0759	9.8710	24
0.0142	0.0794	11.3562	0.4057	0.0760	9.6831	25
0.0118	0.0794	11.0532	0.4207	0.0759	9.7227	26
0.0101	0.0794	11.2963	0.4282	0.0760	9.5792	27
0.0114	0.0794	11.3093	0.4431	0.0758	9.5545	28

Framework versions

Transformers 4.32.0.dev0
TensorFlow 2.12.0
Tokenizers 0.13.3