1-char-based-freeze_cnn-dropout0.1

tuanio/1-char-based-freeze_cnn-dropout0.1

1-char-based-freeze_cnn-dropout0.1 is a automatic speech recognition model from tuanio. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Oct 30, 2023
Updated: Nov 1, 2023
SHA: fbabb491

Base models

facebook/wav2vec2-xls-r-300m

Model card

From the Hugging Face model README

1-char-based-freeze_cnn-dropout0.1

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2454
Wer: 0.1804

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: 2e-05
train_batch_size: 12
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 48
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 200000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.3032	0.09	2500	7.0530	1.0
3.4521	0.18	5000	3.6019	1.0
3.3037	0.26	7500	3.4931	1.0
3.2012	0.35	10000	3.4193	1.0
2.3026	0.44	12500	1.9423	0.9873
1.4238	0.53	15000	0.8772	0.6695
1.1592	0.62	17500	0.6630	0.5011
0.861	0.7	20000	0.5460	0.4239
0.8123	0.79	22500	0.4794	0.3830
0.7568	0.88	25000	0.4369	0.3463
0.7182	0.97	27500	0.4111	0.3289
0.6896	1.06	30000	0.4041	0.3102
0.6655	1.14	32500	0.3933	0.2986
0.5738	1.23	35000	0.3676	0.2829
0.6361	1.32	37500	0.3533	0.2727
0.6142	1.41	40000	0.3545	0.2716
0.6346	1.5	42500	0.3428	0.2615
0.5739	1.58	45000	0.3470	0.2578
0.544	1.67	47500	0.3207	0.2490
0.5283	1.76	50000	0.3202	0.2424
0.5552	1.85	52500	0.3187	0.2379
0.5218	1.94	55000	0.3242	0.2383
0.4939	2.02	57500	0.3277	0.2418
0.5141	2.11	60000	0.3058	0.2329
0.5189	2.2	62500	0.3086	0.2273
0.4993	2.29	65000	0.3005	0.2245
0.5156	2.38	67500	0.2998	0.2223
0.4787	2.46	70000	0.2940	0.2173
0.5296	2.55	72500	0.3003	0.2225
0.4759	2.64	75000	0.2995	0.2144
0.485	2.73	77500	0.2882	0.2126
0.4888	2.82	80000	0.2893	0.2189
0.51	2.9	82500	0.2767	0.2046
0.4703	2.99	85000	0.2899	0.2124
0.4406	3.08	87500	0.2787	0.2068
0.4328	3.17	90000	0.2823	0.2070
0.4399	3.26	92500	0.2802	0.2058
0.4788	3.34	95000	0.2741	0.2084
0.4621	3.43	97500	0.2817	0.2038
0.523	3.52	100000	0.2735	0.2015
0.4689	3.61	102500	0.2631	0.1995
0.4502	3.7	105000	0.2689	0.1986
0.4402	3.78	107500	0.2726	0.1987
0.4189	3.87	110000	0.2724	0.1994
0.4526	3.96	112500	0.2596	0.1918
0.4755	4.05	115000	0.2583	0.1900
0.4374	4.14	117500	0.2590	0.1944
0.4155	4.23	120000	0.2695	0.1961
0.4463	4.31	122500	0.2605	0.1909
0.4007	4.4	125000	0.2529	0.1891
0.4156	4.49	127500	0.2568	0.1913
0.4124	4.58	130000	0.2559	0.1889
0.4085	4.67	132500	0.2610	0.1922
0.4474	4.75	135000	0.2588	0.1961
0.4098	4.84	137500	0.2512	0.1877
0.3941	4.93	140000	0.2549	0.1891
0.3917	5.02	142500	0.2544	0.1863
0.4324	5.11	145000	0.2564	0.1882
0.4255	5.19	147500	0.2536	0.1885
0.3894	5.28	150000	0.2538	0.1860
0.4108	5.37	152500	0.2539	0.1860
0.4312	5.46	155000	0.2526	0.1849
0.3786	5.55	157500	0.2504	0.1837
0.4033	5.63	160000	0.2516	0.1852
0.3973	5.72	162500	0.2570	0.1870
0.3994	5.81	165000	0.2499	0.1846
0.4183	5.9	167500	0.2489	0.1835
0.3826	5.99	170000	0.2468	0.1847
0.4103	6.07	172500	0.2477	0.1806
0.4291	6.16	175000	0.2492	0.1835
0.4417	6.25	177500	0.2464	0.1824
0.3962	6.34	180000	0.2476	0.1815
0.4633	6.43	182500	0.2447	0.1818
0.422	6.51	185000	0.2455	0.1802
0.4098	6.6	187500	0.2488	0.1814
0.4018	6.69	190000	0.2453	0.1804
0.4559	6.78	192500	0.2458	0.1823
0.4033	6.87	195000	0.2451	0.1794
0.3829	6.95	197500	0.2453	0.1804
0.3676	7.04	200000	0.2454	0.1804

Framework versions

Transformers 4.34.0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.14.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Oct 30, 2023
Updated: Nov 1, 2023