whisper_input_decoder_no_lob_with_force__0025

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: 2.4732
• Train Accuracy: 0.0189
• Train Wermet: 0.5367
• Validation Loss: 2.0006
• Validation Accuracy: 0.0164
• Validation Wermet: 0.5730
• Epoch: 24

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
5.4192	0.0107	1.1095	3.9799	0.0114	0.9502	0
4.7193	0.0116	0.8751	3.9335	0.0114	0.9414	1
4.6743	0.0117	0.8498	3.9949	0.0112	0.9682	2
4.6508	0.0117	0.8454	3.8900	0.0114	0.9453	3
4.6308	0.0118	0.8337	3.8853	0.0114	0.9495	4
4.6102	0.0118	0.8215	3.8884	0.0115	0.9205	5
4.5940	0.0118	0.8132	3.8409	0.0116	0.9007	6
4.5703	0.0119	0.7971	3.8224	0.0116	0.9098	7
4.5470	0.0120	0.7822	3.8013	0.0116	0.8938	8
4.5219	0.0120	0.7679	3.7776	0.0117	0.8829	9
4.4859	0.0121	0.7519	3.7360	0.0118	0.8411	10
4.4408	0.0123	0.7412	3.6972	0.0118	0.8593	11
4.3774	0.0124	0.7240	3.6035	0.0121	0.8234	12
4.2906	0.0127	0.7168	3.5057	0.0123	0.8130	13
4.1748	0.0130	0.7090	3.3528	0.0127	0.7856	14
4.0214	0.0135	0.7048	3.2086	0.0130	0.7786	15
3.8434	0.0140	0.6918	3.0436	0.0134	0.7466	16
3.6564	0.0146	0.6797	2.8693	0.0138	0.7348	17
3.4565	0.0152	0.6658	2.6967	0.0143	0.7131	18
3.2849	0.0158	0.6496	2.5221	0.0148	0.6792	19
3.0761	0.0165	0.6273	2.3796	0.0153	0.6550	20
2.9131	0.0171	0.6028	2.2468	0.0156	0.6282	21
2.7468	0.0178	0.5812	2.1322	0.0160	0.6123	22
2.6133	0.0183	0.5606	2.1131	0.0160	0.5950	23
2.4732	0.0189	0.5367	2.0006	0.0164	0.5730	24

Framework versions

• Transformers 4.33.0.dev0
• TensorFlow 2.13.0
• Tokenizers 0.13.3