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w2v2-bert-Wolof-5-hours-ALFFA-dataset

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license: mit base_model: facebook/w2v-bert-2.0 tags:

generated_from_trainer metrics:
wer model-index:
name: w2v2-bert-Wolof-5-hours-ALFFA-dataset results: []

w2v2-bert-Wolof-5-hours-ALFFA-dataset

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7038
Wer: 0.2426
Cer: 0.0697

Model description

lr_scheduler_warmup_ratio: 0.1
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.1501	3.11	400	0.4303	0.4107	0.1101
0.5594	6.23	800	0.5960	0.4697	0.1379
0.4583	9.34	1200	0.5268	0.3951	0.1164
0.352	12.45	1600	0.5083	0.3588	0.1102
0.2712	15.56	2000	0.4915	0.3799	0.1136
0.2112	18.68	2400	0.5377	0.3431	0.1029
0.1488	21.79	2800	0.4510	0.3121	0.0963
0.0956	24.9	3200	0.4963	0.2887	0.0848
0.0651	28.02	3600	0.6041	0.3017	0.0918
0.0399	31.13	4000	0.5339	0.2922	0.0871
0.0342	34.24	4400	0.5940	0.2837	0.0850
0.0145	37.35	4800	0.6339	0.2638	0.0782
0.0062	40.47	5200	0.6818	0.2661	0.0791
0.0037	43.58	5600	0.6538	0.2439	0.0699
0.002	46.69	6000	0.6837	0.2432	0.0702
0.0008	49.81	6400	0.7038	0.2426	0.0697

Framework versions

Transformers 4.38.1

Downloads last month: 0

Safetensors

Model size

606M params

Tensor type

F32

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