bambara-vqvae

oza75/bambara-vqvae

bambara-vqvae is a machine learning model from oza75. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Library: transformers
Model type: bm_speech_vq_vae
Access: Public
Created: May 26, 2024
Updated: May 27, 2024
SHA: f48a9fdb

Model card

From the Hugging Face model README

bambara-vqvae

This model is a fine-tuned version of oza75/bambara-vqvae on the oza75/bambara-tts dataset. It achieves the following results on the evaluation set:

Loss: 0.2141
Mse: 0.0388
Snr: 21.6232

Model description

This model is a VQ-VAE model for encoding bambara speech into discrete latents codes. Model paper https://arxiv.org/pdf/1711.00937

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: 5e-05
train_batch_size: 128
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training 1 Results

Training Loss	Epoch	Step	Validation Loss	Mse	Snr
4.8671	0.4630	100	4.7616	0.0956	17.7057
4.5386	0.9259	200	4.5686	0.0972	17.6335
4.3309	1.3889	300	5.1175	0.0859	18.1749
3.9055	1.8519	400	3.6748	0.0930	17.8268
3.5462	2.3148	500	3.9152	0.0950	17.7360
3.363	2.7778	600	2.7866	0.0905	17.9436
3.2075	3.2407	700	3.7970	0.0883	18.0506
3.1522	3.7037	800	3.0179	0.0886	18.0392
2.9735	4.1667	900	4.4034	0.0810	18.4270
2.9057	4.6296	1000	2.4479	0.0832	18.3087
2.9167	5.0926	1100	2.3498	0.0879	18.0715
2.6331	5.5556	1200	2.4513	0.0878	18.0789
2.6169	6.0185	1300	2.0518	0.0843	18.2525
2.5604	6.4815	1400	2.1794	0.0771	18.6442
2.3571	6.9444	1500	2.1198	0.0755	18.7310
2.1271	7.4074	1600	2.5908	0.0789	18.5391
2.1477	7.8704	1700	2.5674	0.0746	18.7879
2.0593	8.3333	1800	2.3501	0.0746	18.7838
1.9987	8.7963	1900	2.0077	0.0645	19.4190
2.0554	9.2593	2000	1.8095	0.0760	18.7045
1.9182	9.7222	2100	1.8944	0.0640	19.4540
1.8437	10.1852	2200	1.6660	0.0592	19.7857
1.8262	10.6481	2300	2.0191	0.0614	19.6274
1.9519	11.1111	2400	1.6278	0.0652	19.3679
2.0337	11.5741	2500	2.1123	0.0613	19.6387
2.1823	12.0370	2600	1.9423	0.0627	19.5405
2.3532	12.5	2700	2.3935	0.0650	19.3812
2.4301	12.9630	2800	2.3374	0.0712	18.9884
2.5901	13.4259	2900	2.5515	0.0650	19.3858
2.5238	13.8889	3000	2.8894	0.0626	19.5469
2.4095	14.3519	3100	2.5859	0.0620	19.5864
2.3416	14.8148	3200	2.6629	0.0639	19.4582
2.2236	15.2778	3300	2.2810	0.0628	19.5334
2.2794	15.7407	3400	2.3351	0.0629	19.5267
2.283	16.2037	3500	1.9756	0.0684	19.1625
2.3028	16.6667	3600	2.0231	0.0646	19.4107
2.2763	17.1296	3700	2.3012	0.0654	19.3539
2.0332	17.5926	3800	2.1426	0.0594	19.7712
1.9263	18.0556	3900	1.9053	0.0630	19.5177
2.0636	18.5185	4000	1.8481	0.0640	19.4531
1.8676	18.9815	4100	1.8974	0.0590	19.8004
1.8779	19.4444	4200	2.2541	0.0549	20.1192
1.8702	19.9074	4300	2.1981	0.0582	19.8627
1.8691	20.3704	4400	1.9649	0.0604	19.7007
1.8502	20.8333	4500	1.7129	0.0608	19.6731
1.5922	21.2963	4600	1.5730	0.0581	19.8731
1.549	21.7593	4700	1.4156	0.0633	19.5011
1.5809	22.2222	4800	1.4624	0.0622	19.5714
1.4754	22.6852	4900	1.3217	0.0596	19.7625
1.4417	23.1481	5000	1.6220	0.0587	19.8262
1.5053	23.6111	5100	1.6476	0.0550	20.1102
1.4686	24.0741	5200	1.4523	0.0595	19.7643
1.3764	24.5370	5300	1.7580	0.0544	20.1585
1.3844	25.0	5400	1.3904	0.0571	19.9453
1.3781	25.4630	5500	1.2143	0.0604	19.7001
1.2932	25.9259	5600	1.4524	0.0595	19.7648
1.3513	26.3889	5700	1.3591	0.0567	19.9765
1.2994	26.8519	5800	1.1925	0.0554	20.0771
1.2484	27.3148	5900	1.2242	0.0588	19.8152
1.197	27.7778	6000	1.2605	0.0528	20.2832
1.2305	28.2407	6100	1.1420	0.0559	20.0395
1.1684	28.7037	6200	1.1063	0.0597	19.7491
1.1854	29.1667	6300	1.2520	0.0560	20.0334
1.2	29.6296	6400	1.1011	0.0540	20.1849
1.176	30.0926	6500	1.0271	0.0567	19.9757
1.1101	30.5556	6600	1.1846	0.0563	20.0074
1.1426	31.0185	6700	1.0993	0.0570	19.9544
1.103	31.4815	6800	1.0927	0.0570	19.9572
1.0376	31.9444	6900	1.1137	0.0566	19.9874
1.0489	32.4074	7000	1.1397	0.0569	19.9585
1.0923	32.8704	7100	0.9335	0.0554	20.0784
1.0614	33.3333	7200	1.2029	0.0551	20.0982
1.0185	33.7963	7300	1.1350	0.0565	19.9945
1.0401	34.2593	7400	1.1784	0.0565	19.9957
1.0318	34.7222	7500	0.9407	0.0570	19.9527
1.0171	35.1852	7600	0.9488	0.0569	19.9638
1.0752	35.6481	7700	0.9837	0.0559	20.0420
1.0916	36.1111	7800	1.1981	0.0561	20.0249
1.1146	36.5741	7900	1.0566	0.0559	20.0370
1.1023	37.0370	8000	1.0555	0.0553	20.0849
1.1288	37.5	8100	1.1477	0.0559	20.0360
1.1209	37.9630	8200	1.1293	0.0576	19.9067
1.1332	38.4259	8300	1.2328	0.0542	20.1711
1.1516	38.8889	8400	1.1648	0.0547	20.1290
1.1606	39.3519	8500	1.1606	0.0564	19.9969
1.1642	39.8148	8600	1.2534	0.0553	20.0878
1.1356	40.2778	8700	1.1032	0.0564	19.9972
1.1859	40.7407	8800	1.2939	0.0554	20.0791
1.13	41.2037	8900	1.1200	0.0556	20.0620
1.1486	41.6667	9000	1.1004	0.0557	20.0569
1.0811	42.1296	9100	1.0300	0.0528	20.2869
1.0941	42.5926	9200	1.1182	0.0530	20.2731
1.0818	43.0556	9300	1.1210	0.0541	20.1829
1.0588	43.5185	9400	1.2151	0.0524	20.3231
1.0702	43.9815	9500	1.1523	0.0539	20.1985
1.0094	44.4444	9600	1.0473	0.0530	20.2713
1.0314	44.9074	9700	0.9793	0.0531	20.2655
1.0258	45.3704	9800	1.0890	0.0513	20.4112
1.0282	45.8333	9900	0.9711	0.0520	20.3517
0.9859	46.2963	10000	0.9357	0.0509	20.4481
0.9495	46.7593	10100	1.0113	0.0524	20.3229
0.9553	47.2222	10200	0.9366	0.0517	20.3766
0.9829	47.6852	10300	1.0695	0.0508	20.4506
0.9316	48.1481	10400	0.8101	0.0534	20.2348
0.9645	48.6111	10500	0.9829	0.0503	20.5004
0.9223	49.0741	10600	0.9013	0.0517	20.3745
0.9247	49.5370	10700	0.8640	0.0520	20.3559
0.9265	50.0	10800	0.9571	0.0508	20.4535
0.9149	50.4630	10900	0.8377	0.0493	20.5842
0.9087	50.9259	11000	0.8752	0.0486	20.6452
0.8582	51.3889	11100	0.8580	0.0520	20.3545
0.8732	51.8519	11200	0.9128	0.0487	20.6348
0.8973	52.3148	11300	0.8384	0.0505	20.4767
0.853	52.7778	11400	0.8849	0.0490	20.6070
0.8422	53.2407	11500	0.8829	0.0478	20.7160
0.8353	53.7037	11600	0.9033	0.0500	20.5217
0.8281	54.1667	11700	0.8503	0.0491	20.6028
0.8437	54.6296	11800	0.8617	0.0514	20.4034
0.8529	55.0926	11900	0.8649	0.0500	20.5240
0.832	55.5556	12000	0.8541	0.0492	20.5944
0.8331	56.0185	12100	0.7907	0.0485	20.6559
0.8279	56.4815	12200	0.8512	0.0478	20.7184
0.7912	56.9444	12300	0.8266	0.0481	20.6883
0.8058	57.4074	12400	0.8213	0.0490	20.6134
0.7863	57.8704	12500	0.8091	0.0474	20.7526
0.7759	58.3333	12600	0.7051	0.0460	20.8827
0.766	58.7963	12700	0.8549	0.0476	20.7343
0.773	59.2593	12800	0.7508	0.0468	20.8111
0.7683	59.7222	12900	0.7186	0.0477	20.7255
0.7684	60.1852	13000	0.7521	0.0455	20.9347
0.7289	60.6481	13100	0.7606	0.0467	20.8210
0.727	61.1111	13200	0.7770	0.0485	20.6545
0.74	61.5741	13300	0.6966	0.0482	20.6852
0.741	62.0370	13400	0.7099	0.0473	20.7609
0.7321	62.5	13500	0.7439	0.0470	20.7887
0.7313	62.9630	13600	0.7171	0.0468	20.8111
0.7257	63.4259	13700	0.7233	0.0468	20.8060
0.7016	63.8889	13800	0.7619	0.0463	20.8533
0.6963	64.3519	13900	0.7370	0.0466	20.8295
0.7218	64.8148	14000	0.7081	0.0468	20.8096
0.691	65.2778	14100	0.6877	0.0463	20.8571
0.6883	65.7407	14200	0.6769	0.0457	20.9102
0.6903	66.2037	14300	0.7429	0.0481	20.6951
0.6916	66.6667	14400	0.7208	0.0456	20.9191
0.6867	67.1296	14500	0.7134	0.0462	20.8635
0.6508	67.5926	14600	0.6630	0.0464	20.8489
0.6528	68.0556	14700	0.6637	0.0461	20.8780
0.6573	68.5185	14800	0.6419	0.0456	20.9207
0.659	68.9815	14900	0.6901	0.0460	20.8864
0.6279	69.4444	15000	0.6815	0.0452	20.9613
0.6409	69.9074	15100	0.6239	0.0462	20.8657
0.6391	70.3704	15200	0.6703	0.0451	20.9689
0.6559	70.8333	15300	0.6870	0.0450	20.9783
0.6417	71.2963	15400	0.6202	0.0459	20.8984
0.6364	71.7593	15500	0.6792	0.0460	20.8857
0.6197	72.2222	15600	0.6580	0.0463	20.8582
0.6415	72.6852	15700	0.6028	0.0456	20.9194
0.6312	73.1481	15800	0.6408	0.0451	20.9713
0.628	73.6111	15900	0.6099	0.0443	21.0436
0.6471	74.0741	16000	0.6503	0.0458	20.9028
0.6005	74.5370	16100	0.6151	0.0455	20.9343
0.5998	75.0	16200	0.6550	0.0453	20.9517
0.6076	75.4630	16300	0.6203	0.0456	20.9209
0.612	75.9259	16400	0.6461	0.0448	21.0018
0.6088	76.3889	16500	0.6396	0.0454	20.9440
0.607	76.8519	16600	0.6423	0.0451	20.9665
0.613	77.3148	16700	0.5506	0.0452	20.9617
0.6216	77.7778	16800	0.6033	0.0451	20.9713
0.5965	78.2407	16900	0.5685	0.0452	20.9654
0.6057	78.7037	17000	0.5780	0.0442	21.0586
0.6066	79.1667	17100	0.5873	0.0448	21.0039
0.592	79.6296	17200	0.6609	0.0450	20.9780
0.5918	80.0926	17300	0.6346	0.0459	20.8910
0.5894	80.5556	17400	0.5987	0.0455	20.9292
0.5788	81.0185	17500	0.6360	0.0447	21.0109
0.5813	81.4815	17600	0.6108	0.0446	21.0205
0.5965	81.9444	17700	0.5828	0.0447	21.0046
0.5848	82.4074	17800	0.5959	0.0451	20.9723
0.5851	82.8704	17900	0.5986	0.0443	21.0487
0.5964	83.3333	18000	0.5758	0.0454	20.9396
0.5723	83.7963	18100	0.6167	0.0446	21.0190
0.5766	84.2593	18200	0.6056	0.0446	21.0172
0.5828	84.7222	18300	0.5831	0.0442	21.0598
0.5747	85.1852	18400	0.5841	0.0444	21.0353
0.59	85.6481	18500	0.5907	0.0445	21.0262
0.5689	86.1111	18600	0.5549	0.0446	21.0194
0.6038	86.5741	18700	0.5776	0.0448	21.0044
0.5745	87.0370	18800	0.5802	0.0451	20.9694
0.573	87.5	18900	0.5801	0.0442	21.0588
0.5665	87.9630	19000	0.6071	0.0454	20.9416
0.5489	88.4259	19100	0.5778	0.0444	21.0404
0.56	88.8889	19200	0.6000	0.0443	21.0468
0.5578	89.3519	19300	0.5696	0.0444	21.0400
0.5536	89.8148	19400	0.5665	0.0440	21.0786
0.5721	90.2778	19500	0.5666	0.0443	21.0495
0.5719	90.7407	19600	0.5694	0.0443	21.0505
0.5767	91.2037	19700	0.5783	0.0446	21.0216
0.5699	91.6667	19800	0.5687	0.0442	21.0589
0.5622	92.1296	19900	0.5692	0.0444	21.0370
0.5718	92.5926	20000	0.5753	0.0439	21.0847
0.5638	93.0556	20100	0.5667	0.0439	21.0862
0.5802	93.5185	20200	0.5550	0.0444	21.0415
0.5687	93.9815	20300	0.5851	0.0443	21.0440
0.5718	94.4444	20400	0.5577	0.0442	21.0627
0.5548	94.9074	20500	0.5573	0.0443	21.0511
0.5569	95.3704	20600	0.5648	0.0438	21.0929
0.5607	95.8333	20700	0.5621	0.0442	21.0554
0.5666	96.2963	20800	0.5657	0.0444	21.0404
0.5727	96.7593	20900	0.5649	0.0441	21.0633
0.5796	97.2222	21000	0.5673	0.0442	21.0560
0.554	97.6852	21100	0.5575	0.0440	21.0743
0.5653	98.1481	21200	0.5647	0.0443	21.0512
0.5707	98.6111	21300	0.5649	0.0443	21.0504
0.5518	99.0741	21400	0.5614	0.0442	21.0580
0.5662	99.5370	21500	0.5577	0.0441	21.0645
0.5648	100.0	21600	0.5621	0.0441	21.0636

Training 2 results

Training Loss	Epoch	Step	Validation Loss	Mse	Snr
0.5677	0.4630	100	0.6122	0.0440	21.0825
0.5558	0.9259	200	0.5925	0.0444	21.0412
0.5579	1.3889	300	0.6126	0.0445	21.0335
0.5711	1.8519	400	0.6078	0.0430	21.1782
0.5698	2.3148	500	0.5475	0.0447	21.0131
0.5427	2.7778	600	0.5879	0.0440	21.0778
0.4864	3.2407	700	0.5822	0.0459	20.8911
0.5086	3.7037	800	0.4969	0.0450	20.9817
0.5224	4.1667	900	0.5290	0.0441	21.0634
0.5091	4.6296	1000	0.5169	0.0434	21.1327
0.5162	5.0926	1100	0.4908	0.0474	20.7552
0.4982	5.5556	1200	0.4993	0.0428	21.1959
0.4894	6.0185	1300	0.4267	0.0428	21.1945
0.4727	6.4815	1400	0.5009	0.0435	21.1285
0.4879	6.9444	1500	0.5038	0.0455	20.9315
0.467	7.4074	1600	0.4557	0.0450	20.9773
0.483	7.8704	1700	0.5395	0.0425	21.2259
0.4668	8.3333	1800	0.4553	0.0442	21.0575
0.4824	8.7963	1900	0.4558	0.0434	21.1353
0.4797	9.2593	2000	0.4364	0.0448	20.9965
0.4618	9.7222	2100	0.4926	0.0451	20.9719
0.4408	10.1852	2200	0.4168	0.0433	21.1472
0.4493	10.6481	2300	0.4842	0.0447	21.0089
0.4456	11.1111	2400	0.4067	0.0438	21.1018
0.4347	11.5741	2500	0.4760	0.0419	21.2927
0.4337	12.0370	2600	0.3838	0.0442	21.0568
0.4383	12.5	2700	0.4358	0.0457	20.9107
0.4156	12.9630	2800	0.4855	0.0438	21.0949
0.415	13.4259	2900	0.4486	0.0443	21.0527
0.4311	13.8889	3000	0.4502	0.0430	21.1770
0.412	14.3519	3100	0.4045	0.0438	21.0983
0.4229	14.8148	3200	0.4118	0.0454	20.9410
0.3895	15.2778	3300	0.3951	0.0434	21.1407
0.404	15.7407	3400	0.3730	0.0456	20.9207
0.4044	16.2037	3500	0.4251	0.0442	21.0600
0.3991	16.6667	3600	0.4125	0.0431	21.1651
0.3822	17.1296	3700	0.4440	0.0443	21.0530
0.3808	17.5926	3800	0.3842	0.0429	21.1915
0.3753	18.0556	3900	0.3789	0.0439	21.0840
0.3896	18.5185	4000	0.3899	0.0444	21.0411
0.3648	18.9815	4100	0.3431	0.0428	21.2004
0.3742	19.4444	4200	0.3637	0.0441	21.0636
0.3748	19.9074	4300	0.3774	0.0437	21.1046
0.3645	20.3704	4400	0.3855	0.0451	20.9709
0.3651	20.8333	4500	0.3881	0.0438	21.0954
0.35	21.2963	4600	0.3600	0.0425	21.2300
0.3541	21.7593	4700	0.3662	0.0452	20.9625
0.3552	22.2222	4800	0.3795	0.0422	21.2598
0.3434	22.6852	4900	0.3424	0.0433	21.1513
0.3426	23.1481	5000	0.3621	0.0416	21.3237
0.3508	23.6111	5100	0.3624	0.0426	21.2155
0.3333	24.0741	5200	0.3563	0.0439	21.0870
0.3403	24.5370	5300	0.3678	0.0425	21.2243
0.3459	25.0	5400	0.3455	0.0433	21.1425
0.3335	25.4630	5500	0.3450	0.0424	21.2427
0.3395	25.9259	5600	0.3615	0.0439	21.0848
0.3358	26.3889	5700	0.3193	0.0438	21.0945
0.3264	26.8519	5800	0.3410	0.0435	21.1323
0.3298	27.3148	5900	0.3294	0.0443	21.0527
0.3189	27.7778	6000	0.3193	0.0435	21.1289
0.3309	28.2407	6100	0.3255	0.0424	21.2416
0.3137	28.7037	6200	0.3374	0.0445	21.0272
0.3158	29.1667	6300	0.3200	0.0445	21.0245
0.3176	29.6296	6400	0.3351	0.0427	21.2113
0.3166	30.0926	6500	0.2949	0.0420	21.2784
0.3095	30.5556	6600	0.3173	0.0422	21.2565
0.3202	31.0185	6700	0.3052	0.0424	21.2393
0.315	31.4815	6800	0.3197	0.0428	21.1954
0.3118	31.9444	6900	0.3006	0.0434	21.1332
0.3002	32.4074	7000	0.3322	0.0433	21.1481
0.3143	32.8704	7100	0.2918	0.0410	21.3850
0.3057	33.3333	7200	0.3166	0.0403	21.4642
0.2924	33.7963	7300	0.3248	0.0417	21.3092
0.3006	34.2593	7400	0.3126	0.0431	21.1718
0.2967	34.7222	7500	0.2866	0.0398	21.5149
0.2848	35.1852	7600	0.2854	0.0415	21.3295
0.3027	35.6481	7700	0.2809	0.0427	21.2067
0.2888	36.1111	7800	0.2841	0.0426	21.2207
0.2858	36.5741	7900	0.2796	0.0428	21.1980
0.2897	37.0370	8000	0.2703	0.0414	21.3461
0.2924	37.5	8100	0.2895	0.0426	21.2142
0.2796	37.9630	8200	0.2977	0.0430	21.1760
0.2751	38.4259	8300	0.2916	0.0416	21.3194
0.2808	38.8889	8400	0.2970	0.0421	21.2747
0.2784	39.3519	8500	0.2800	0.0427	21.2095
0.2821	39.8148	8600	0.2929	0.0412	21.3627
0.2774	40.2778	8700	0.2743	0.0414	21.3445
0.2843	40.7407	8800	0.3020	0.0415	21.3325
0.2724	41.2037	8900	0.2810	0.0421	21.2651
0.2739	41.6667	9000	0.2781	0.0421	21.2719
0.2672	42.1296	9100	0.2675	0.0411	21.3770
0.2722	42.5926	9200	0.2751	0.0422	21.2586
0.2719	43.0556	9300	0.2752	0.0418	21.2978
0.2659	43.5185	9400	0.2788	0.0413	21.3577
0.2698	43.9815	9500	0.2866	0.0410	21.3812
0.263	44.4444	9600	0.2839	0.0415	21.3324
0.2659	44.9074	9700	0.2675	0.0410	21.3832
0.2616	45.3704	9800	0.2753	0.0406	21.4219
0.2663	45.8333	9900	0.2597	0.0421	21.2660
0.2637	46.2963	10000	0.2565	0.0408	21.4025
0.2588	46.7593	10100	0.2651	0.0411	21.3746
0.2541	47.2222	10200	0.2614	0.0417	21.3115
0.2615	47.6852	10300	0.2843	0.0421	21.2659
0.251	48.1481	10400	0.2354	0.0414	21.3444
0.2567	48.6111	10500	0.2662	0.0407	21.4188
0.2537	49.0741	10600	0.2670	0.0413	21.3502
0.2556	49.5370	10700	0.2425	0.0408	21.4062
0.2526	50.0	10800	0.2658	0.0414	21.3399
0.2545	50.4630	10900	0.2506	0.0407	21.4211
0.2551	50.9259	11000	0.2530	0.0418	21.3017
0.247	51.3889	11100	0.2532	0.0426	21.2180
0.2501	51.8519	11200	0.2638	0.0410	21.3860
0.2469	52.3148	11300	0.2457	0.0417	21.3151
0.245	52.7778	11400	0.2527	0.0405	21.4325
0.2425	53.2407	11500	0.2599	0.0411	21.3752
0.2437	53.7037	11600	0.2586	0.0409	21.3962
0.2456	54.1667	11700	0.2496	0.0420	21.2753
0.2469	54.6296	11800	0.2473	0.0401	21.4771
0.2493	55.0926	11900	0.2473	0.0407	21.4180
0.2454	55.5556	12000	0.2513	0.0414	21.3473
0.2418	56.0185	12100	0.2440	0.0410	21.3820
0.245	56.4815	12200	0.2472	0.0404	21.4448
0.2413	56.9444	12300	0.2430	0.0407	21.4160
0.2402	57.4074	12400	0.2421	0.0415	21.3321
0.2383	57.8704	12500	0.2464	0.0398	21.5081
0.2398	58.3333	12600	0.2301	0.0415	21.3292
0.2386	58.7963	12700	0.2586	0.0406	21.4287
0.2355	59.2593	12800	0.2364	0.0407	21.4137
0.2381	59.7222	12900	0.2384	0.0416	21.3241
0.2363	60.1852	13000	0.2400	0.0398	21.5170
0.2312	60.6481	13100	0.2390	0.0411	21.3759
0.2284	61.1111	13200	0.2502	0.0410	21.3851
0.233	61.5741	13300	0.2240	0.0400	21.4947
0.2359	62.0370	13400	0.2356	0.0402	21.4751
0.231	62.5	13500	0.2389	0.0404	21.4448
0.2308	62.9630	13600	0.2338	0.0406	21.4281
0.2305	63.4259	13700	0.2371	0.0403	21.4601
0.227	63.8889	13800	0.2455	0.0403	21.4540
0.231	64.3519	13900	0.2442	0.0399	21.5027
0.2317	64.8148	14000	0.2345	0.0404	21.4498
0.2266	65.2778	14100	0.2347	0.0402	21.4754
0.2301	65.7407	14200	0.2238	0.0403	21.4640
0.2324	66.2037	14300	0.2400	0.0400	21.4867
0.2289	66.6667	14400	0.2342	0.0398	21.5156
0.2286	67.1296	14500	0.2391	0.0405	21.4362
0.2234	67.5926	14600	0.2335	0.0400	21.4898
0.2203	68.0556	14700	0.2336	0.0404	21.4517
0.2271	68.5185	14800	0.2267	0.0405	21.4390
0.2279	68.9815	14900	0.2380	0.0407	21.4177
0.2171	69.4444	15000	0.2306	0.0390	21.5992
0.225	69.9074	15100	0.2250	0.0394	21.5567
0.2245	70.3704	15200	0.2351	0.0399	21.5079
0.2236	70.8333	15300	0.2331	0.0396	21.5340
0.2262	71.2963	15400	0.2295	0.0403	21.4613
0.223	71.7593	15500	0.2324	0.0394	21.5539
0.2154	72.2222	15600	0.2328	0.0396	21.5315
0.2248	72.6852	15700	0.2198	0.0396	21.5363
0.2168	73.1481	15800	0.2250	0.0398	21.5182
0.2222	73.6111	15900	0.2250	0.0389	21.6151
0.2279	74.0741	16000	0.2286	0.0399	21.4977
0.2141	74.5370	16100	0.2199	0.0395	21.5449
0.2162	75.0	16200	0.2320	0.0397	21.5226
0.217	75.4630	16300	0.2314	0.0396	21.5307
0.2186	75.9259	16400	0.2230	0.0402	21.4689
0.2169	76.3889	16500	0.2285	0.0392	21.5767
0.2168	76.8519	16600	0.2272	0.0390	21.6016
0.2201	77.3148	16700	0.2123	0.0405	21.4343
0.2227	77.7778	16800	0.2242	0.0403	21.4561
0.2142	78.2407	16900	0.2145	0.0395	21.5514
0.2175	78.7037	17000	0.2179	0.0389	21.6143
0.2154	79.1667	17100	0.2159	0.0396	21.5385
0.2171	79.6296	17200	0.2298	0.0394	21.5541
0.2155	80.0926	17300	0.2270	0.0396	21.5338
0.2149	80.5556	17400	0.2239	0.0393	21.5645
0.2116	81.0185	17500	0.2237	0.0393	21.5681
0.212	81.4815	17600	0.2264	0.0394	21.5598
0.2184	81.9444	17700	0.2141	0.0393	21.5686
0.21	82.4074	17800	0.2199	0.0393	21.5683
0.211	82.8704	17900	0.2262	0.0385	21.6539
0.2181	83.3333	18000	0.2167	0.0398	21.5153
0.2111	83.7963	18100	0.2228	0.0390	21.5982
0.2113	84.2593	18200	0.2233	0.0389	21.6100
0.213	84.7222	18300	0.2261	0.0392	21.5813
0.2123	85.1852	18400	0.2200	0.0392	21.5826
0.214	85.6481	18500	0.2216	0.0394	21.5544
0.2125	86.1111	18600	0.2156	0.0390	21.6009
0.2139	86.5741	18700	0.2151	0.0390	21.5976
0.2124	87.0370	18800	0.2175	0.0389	21.6161
0.21	87.5	18900	0.2181	0.0387	21.6363
0.2098	87.9630	19000	0.2215	0.0389	21.6166
0.2074	88.4259	19100	0.2116	0.0388	21.6255
0.2096	88.8889	19200	0.2203	0.0388	21.6220
0.2076	89.3519	19300	0.2134	0.0386	21.6458
0.2058	89.8148	19400	0.2168	0.0390	21.6004
0.2118	90.2778	19500	0.2133	0.0390	21.6052
0.2098	90.7407	19600	0.2206	0.0385	21.6544
0.2131	91.2037	19700	0.2187	0.0389	21.6142
0.2106	91.6667	19800	0.2154	0.0386	21.6431
0.2085	92.1296	19900	0.2153	0.0394	21.5610
0.2112	92.5926	20000	0.2134	0.0390	21.5981
0.2121	93.0556	20100	0.2161	0.0390	21.6019
0.215	93.5185	20200	0.2132	0.0391	21.5935
0.2092	93.9815	20300	0.2167	0.0388	21.6249
0.2135	94.4444	20400	0.2120	0.0387	21.6370
0.2076	94.9074	20500	0.2132	0.0388	21.6225
0.2087	95.3704	20600	0.2145	0.0388	21.6221
0.207	95.8333	20700	0.2147	0.0388	21.6195
0.2107	96.2963	20800	0.2150	0.0391	21.5929
0.2118	96.7593	20900	0.2148	0.0389	21.6133
0.2136	97.2222	21000	0.2164	0.0387	21.6379
0.2082	97.6852	21100	0.2146	0.0388	21.6265
0.2102	98.1481	21200	0.2151	0.0389	21.6096
0.2106	98.6111	21300	0.2144	0.0388	21.6295
0.2056	99.0741	21400	0.2141	0.0387	21.6313
0.2104	99.5370	21500	0.2131	0.0388	21.6204
0.2106	100.0	21600	0.2141	0.0388	21.6232

Framework versions

Transformers 4.41.1
Pytorch 2.2.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: transformers
Type: bm_speech_vq_vae
Languages: bm
Created: May 26, 2024
Updated: May 27, 2024