t5-base-TEDxJP-1body-3context – AI Model by tyoyo | AlphaNeural AI

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tyoyo/
t5-base-TEDxJP-1body-3context

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-base-TEDxJP-1body-3context

This model is a fine-tuned version of sonoisa/t5-base-japanese on the te_dx_jp dataset. It achieves the following results on the evaluation set:

Loss: 0.4926
Wer: 0.1968
Mer: 0.1894
Wil: 0.2793
Wip: 0.7207
Hits: 55899
Substitutions: 6836
Deletions: 3636
Insertions: 2590
Cer: 0.1733

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: 0.0001
train_batch_size: 64
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_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Mer	Wil	Wip	Hits	Substitutions	Deletions	Insertions	Cer
0.7082	1.0	746	0.5637	0.2626	0.2430	0.3355	0.6645	54301	7195	4875	5358	0.2552
0.6213	2.0	1492	0.5150	0.2068	0.1994	0.2899	0.7101	55107	6861	4403	2462	0.1866
0.5331	3.0	2238	0.4945	0.2038	0.1958	0.2858	0.7142	55551	6845	3975	2705	0.1816
0.5185	4.0	2984	0.4880	0.2003	0.1929	0.2831	0.7169	55639	6860	3872	2563	0.1779
0.4963	5.0	3730	0.4858	0.1988	0.1912	0.2810	0.7190	55837	6838	3696	2662	0.1772
0.4625	6.0	4476	0.4885	0.1964	0.1894	0.2799	0.7201	55785	6875	3711	2448	0.1720
0.4416	7.0	5222	0.4898	0.1962	0.1890	0.2788	0.7212	55870	6819	3682	2522	0.1726
0.4287	8.0	5968	0.4894	0.1968	0.1894	0.2790	0.7210	55889	6804	3678	2580	0.1743
0.4457	9.0	6714	0.4909	0.1964	0.1891	0.2792	0.7208	55919	6858	3594	2586	0.1739
0.4068	10.0	7460	0.4926	0.1968	0.1894	0.2793	0.7207	55899	6836	3636	2590	0.1733

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu102
Datasets 1.15.1
Tokenizers 0.10.3