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sqrk/
All_balanced-mms1ball-adaptertest-Nov28

Name: All_balanced-mms1ball-adaptertest-Nov28
Availability: InStock

safetensors

wav2vec2

generated_from_trainer

facebook/mms-1b-all

finetune

cc-by-nc-4.0

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All_balanced-mms1ball-adaptertest-Nov28

This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:

Loss: inf
Wer: 0.4258

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: 1e-05
train_batch_size: 3
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
104.7377	0.0602	100	inf	1.0006
86.3964	0.1204	200	inf	1.0004
71.1469	0.1806	300	inf	1.0
63.5388	0.2408	400	inf	1.0
36.6288	0.3010	500	inf	1.0
24.8799	0.3612	600	inf	1.0
13.1157	0.4214	700	inf	1.0
6.5013	0.4816	800	inf	1.0
4.5713	0.5418	900	inf	1.0
4.1285	0.6020	1000	inf	1.0
3.7921	0.6623	1100	inf	1.0
3.6424	0.7225	1200	inf	1.0
3.6716	0.7827	1300	inf	1.0
3.5539	0.8429	1400	inf	1.0
3.4234	0.9031	1500	inf	1.0
3.5372	0.9633	1600	inf	1.0
3.4625	1.0235	1700	inf	1.0
3.4256	1.0837	1800	inf	1.0
3.4454	1.1439	1900	inf	1.0
3.4054	1.2041	2000	inf	1.0
3.3542	1.2643	2100	inf	1.0
3.351	1.3245	2200	inf	1.0
3.37	1.3847	2300	inf	1.0
3.2994	1.4449	2400	inf	1.0
3.3228	1.5051	2500	inf	1.0
3.3294	1.5653	2600	inf	1.0
3.4365	1.6255	2700	inf	1.0
3.2813	1.6857	2800	inf	1.0
3.3217	1.7459	2900	inf	1.0
3.3397	1.8061	3000	inf	1.0
3.2714	1.8663	3100	inf	1.0
3.2705	1.9266	3200	inf	1.0
3.2597	1.9868	3300	inf	1.0
3.2471	2.0470	3400	inf	1.0
3.3927	2.1072	3500	inf	1.0
3.3093	2.1674	3600	inf	1.0
3.2264	2.2276	3700	inf	1.0
3.2208	2.2878	3800	inf	1.0
3.3372	2.3480	3900	inf	1.0
3.1658	2.4082	4000	inf	1.0
3.1499	2.4684	4100	inf	1.0
3.2204	2.5286	4200	inf	1.0
3.2322	2.5888	4300	inf	1.0
3.2004	2.6490	4400	inf	1.0
3.1913	2.7092	4500	inf	1.0
3.1561	2.7694	4600	inf	1.0
3.165	2.8296	4700	inf	1.0
3.1608	2.8898	4800	inf	1.0
3.1087	2.9500	4900	inf	1.0
3.159	3.0102	5000	inf	1.0
3.0894	3.0704	5100	inf	1.0
3.0647	3.1306	5200	inf	1.0
3.0851	3.1908	5300	inf	0.9998
3.1414	3.2511	5400	inf	0.9996
3.1283	3.3113	5500	inf	0.9994
3.0102	3.3715	5600	inf	0.9980
3.0183	3.4317	5700	inf	0.9982
2.9454	3.4919	5800	inf	0.9994
2.9309	3.5521	5900	inf	1.0004
2.9968	3.6123	6000	inf	1.0045
2.9838	3.6725	6100	inf	1.0098
2.9452	3.7327	6200	inf	1.0059
2.9889	3.7929	6300	inf	1.0012
2.8905	3.8531	6400	inf	0.9943
2.9325	3.9133	6500	inf	0.9783
2.8725	3.9735	6600	inf	0.9604
2.7827	4.0337	6700	inf	0.9422
2.7264	4.0939	6800	inf	0.9159
2.7523	4.1541	6900	inf	0.8921
2.8659	4.2143	7000	inf	0.8773
2.665	4.2745	7100	inf	0.8486
2.8073	4.3347	7200	inf	0.8304
2.6979	4.3949	7300	inf	0.8111
2.7316	4.4551	7400	inf	0.7860
2.6897	4.5154	7500	inf	0.7717
2.6828	4.5756	7600	inf	0.7532
2.7648	4.6358	7700	inf	0.7438
2.6205	4.6960	7800	inf	0.7370
2.7043	4.7562	7900	inf	0.7260
2.5626	4.8164	8000	inf	0.7085
2.5871	4.8766	8100	inf	0.7026
2.5814	4.9368	8200	inf	0.6937
2.7012	4.9970	8300	inf	0.6825
2.4816	5.0572	8400	inf	0.6681
2.6789	5.1174	8500	inf	0.6595
2.6136	5.1776	8600	inf	0.6519
2.5689	5.2378	8700	inf	0.6435
2.5708	5.2980	8800	inf	0.6345
2.5358	5.3582	8900	inf	0.6287
2.4588	5.4184	9000	inf	0.6211
2.5932	5.4786	9100	inf	0.6117
2.5504	5.5388	9200	inf	0.6010
2.4834	5.5990	9300	inf	0.5980
2.5113	5.6592	9400	inf	0.5924
2.4815	5.7194	9500	inf	0.5883
2.5146	5.7797	9600	inf	0.5873
2.4457	5.8399	9700	inf	0.5826
2.4907	5.9001	9800	inf	0.5774
2.5241	5.9603	9900	inf	0.5739
2.4866	6.0205	10000	inf	0.5717
2.4567	6.0807	10100	inf	0.5684
2.3949	6.1409	10200	inf	0.5678
2.5562	6.2011	10300	inf	0.5668
2.335	6.2613	10400	inf	0.5660
2.4115	6.3215	10500	inf	0.5653
2.4453	6.3817	10600	inf	0.5641
2.4689	6.4419	10700	inf	0.5631
2.311	6.5021	10800	inf	0.5612
2.3218	6.5623	10900	inf	0.5616
2.366	6.6225	11000	inf	0.5575
2.3831	6.6827	11100	inf	0.5559
2.3986	6.7429	11200	inf	0.5567
2.3886	6.8031	11300	inf	0.5540
2.3275	6.8633	11400	inf	0.5545
2.3585	6.9235	11500	inf	0.5545
2.3455	6.9837	11600	inf	0.5526
2.4095	7.0439	11700	inf	0.5524
2.396	7.1042	11800	inf	0.5510
2.3051	7.1644	11900	inf	0.5502
2.2471	7.2246	12000	inf	0.5477
2.3109	7.2848	12100	inf	0.5458
2.4103	7.3450	12200	inf	0.5460
2.2821	7.4052	12300	inf	0.5463
2.4961	7.4654	12400	inf	0.5461
2.1962	7.5256	12500	inf	0.5456
2.3257	7.5858	12600	inf	0.5430
2.3917	7.6460	12700	inf	0.5419
2.2884	7.7062	12800	inf	0.5415
2.2477	7.7664	12900	inf	0.5420
2.1618	7.8266	13000	inf	0.5405
2.2561	7.8868	13100	inf	0.5415
2.1719	7.9470	13200	inf	0.5415
2.1417	8.0072	13300	inf	0.5389
2.2109	8.0674	13400	inf	0.5399
2.1978	8.1276	13500	inf	0.5407
2.2634	8.1878	13600	inf	0.5397
2.2598	8.2480	13700	inf	0.5389
2.2579	8.3082	13800	inf	0.5387
2.1024	8.3685	13900	inf	0.5378
2.2253	8.4287	14000	inf	0.5364
2.1518	8.4889	14100	inf	0.5368
2.2339	8.5491	14200	inf	0.5344
2.2036	8.6093	14300	inf	0.5356
2.1635	8.6695	14400	inf	0.5364
2.229	8.7297	14500	inf	0.5339
2.2803	8.7899	14600	inf	0.5305
2.22	8.8501	14700	inf	0.5307
2.1981	8.9103	14800	inf	0.5300
2.1627	8.9705	14900	inf	0.5321
2.1737	9.0307	15000	inf	0.5319
2.0855	9.0909	15100	inf	0.5305
2.078	9.1511	15200	inf	0.5327
2.2162	9.2113	15300	inf	0.5305
2.0196	9.2715	15400	inf	0.5298
2.1919	9.3317	15500	inf	0.5327
2.1344	9.3919	15600	inf	0.5331
2.1036	9.4521	15700	inf	0.5327
2.2517	9.5123	15800	inf	0.5313
2.066	9.5725	15900	inf	0.5296
2.1578	9.6328	16000	inf	0.5290
2.1122	9.6930	16100	inf	0.5245
2.0913	9.7532	16200	inf	0.5239
2.0633	9.8134	16300	inf	0.5237
2.1646	9.8736	16400	inf	0.5239
2.2283	9.9338	16500	inf	0.5223
2.1672	9.9940	16600	inf	0.5227
2.0768	10.0542	16700	inf	0.5218
2.0593	10.1144	16800	inf	0.5212
2.0441	10.1746	16900	inf	0.5227
2.048	10.2348	17000	inf	0.5190
2.2472	10.2950	17100	inf	0.52
2.0715	10.3552	17200	inf	0.5177
2.1743	10.4154	17300	inf	0.5165
2.0812	10.4756	17400	inf	0.5165
2.1103	10.5358	17500	inf	0.5149
2.1482	10.5960	17600	inf	0.5151
2.0297	10.6562	17700	inf	0.5153
2.0558	10.7164	17800	inf	0.5147
2.0379	10.7766	17900	inf	0.5159
1.9573	10.8368	18000	inf	0.5116
2.0317	10.8970	18100	inf	0.5116
1.9518	10.9573	18200	inf	0.5102
1.9623	11.0175	18300	inf	0.5104
2.0349	11.0777	18400	inf	0.5069
2.0373	11.1379	18500	inf	0.5073
2.0961	11.1981	18600	inf	0.5054
2.0604	11.2583	18700	inf	0.5065
2.0969	11.3185	18800	inf	0.5063
2.0262	11.3787	18900	inf	0.5067
2.063	11.4389	19000	inf	0.5056
2.0065	11.4991	19100	inf	0.5061
1.8421	11.5593	19200	inf	0.5056
2.0193	11.6195	19300	inf	0.504
1.9905	11.6797	19400	inf	0.5050
1.8971	11.7399	19500	inf	0.5067
1.9896	11.8001	19600	inf	0.5050
1.9482	11.8603	19700	inf	0.5063
2.0893	11.9205	19800	inf	0.5056
2.0149	11.9807	19900	inf	0.5065
1.9497	12.0409	20000	inf	0.5044
2.0303	12.1011	20100	inf	0.5042
2.0212	12.1613	20200	inf	0.504
2.0529	12.2216	20300	inf	0.5028
1.9422	12.2818	20400	inf	0.5026
2.0605	12.3420	20500	inf	0.5032
2.0251	12.4022	20600	inf	0.5032
1.9428	12.4624	20700	inf	0.5026
1.8757	12.5226	20800	inf	0.5020
1.9201	12.5828	20900	inf	0.4995
2.1063	12.6430	21000	inf	0.4993
1.8662	12.7032	21100	inf	0.4985
1.9908	12.7634	21200	inf	0.4981
1.8985	12.8236	21300	inf	0.4956
1.7445	12.8838	21400	inf	0.4964
1.8745	12.9440	21500	inf	0.4950
1.9364	13.0042	21600	inf	0.4942
1.9491	13.0644	21700	inf	0.4939
1.9847	13.1246	21800	inf	0.4931
1.9001	13.1848	21900	inf	0.4940
1.8265	13.2450	22000	inf	0.4923
1.8725	13.3052	22100	inf	0.4921
2.0441	13.3654	22200	inf	0.4942
1.907	13.4256	22300	inf	0.4919
1.9421	13.4859	22400	inf	0.4903
1.9009	13.5461	22500	inf	0.4886
1.7615	13.6063	22600	inf	0.4890
1.9819	13.6665	22700	inf	0.4900
1.8528	13.7267	22800	inf	0.4927
1.9979	13.7869	22900	inf	0.4911
1.7754	13.8471	23000	inf	0.4882
1.808	13.9073	23100	inf	0.4878
1.8841	13.9675	23200	inf	0.4886
2.0265	14.0277	23300	inf	0.4847
1.7086	14.0879	23400	inf	0.4835
1.8442	14.1481	23500	inf	0.4860
1.8178	14.2083	23600	inf	0.4864
1.866	14.2685	23700	inf	0.4853
1.9439	14.3287	23800	inf	0.4847
1.7911	14.3889	23900	inf	0.4857
1.9575	14.4491	24000	inf	0.4835
1.8634	14.5093	24100	inf	0.4843
1.8283	14.5695	24200	inf	0.4806
1.9249	14.6297	24300	inf	0.4808
1.8542	14.6899	24400	inf	0.4788
1.842	14.7502	24500	inf	0.4804
1.9083	14.8104	24600	inf	0.4794
1.901	14.8706	24700	inf	0.4816
1.7759	14.9308	24800	inf	0.4814
2.0227	14.9910	24900	inf	0.4782
1.837	15.0512	25000	inf	0.4790
1.8831	15.1114	25100	inf	0.4751
1.8904	15.1716	25200	inf	0.4759
1.7283	15.2318	25300	inf	0.4753
1.7461	15.2920	25400	inf	0.4726
1.7337	15.3522	25500	inf	0.4736
1.7495	15.4124	25600	inf	0.4699
2.0154	15.4726	25700	inf	0.4714
1.8853	15.5328	25800	inf	0.4708
1.9737	15.5930	25900	inf	0.4681
1.7842	15.6532	26000	inf	0.4700
1.8163	15.7134	26100	inf	0.4697
1.6747	15.7736	26200	inf	0.4722
1.7329	15.8338	26300	inf	0.4704
1.9267	15.8940	26400	inf	0.4699
2.0427	15.9542	26500	inf	0.4685
1.7331	16.0144	26600	inf	0.4685
1.7991	16.0747	26700	inf	0.4648
1.8709	16.1349	26800	inf	0.4628
1.7775	16.1951	26900	inf	0.4656
1.8327	16.2553	27000	inf	0.4644
1.8523	16.3155	27100	inf	0.4650
1.8387	16.3757	27200	inf	0.4634
1.7927	16.4359	27300	inf	0.4617
1.7966	16.4961	27400	inf	0.4609
1.8229	16.5563	27500	inf	0.4580
1.7343	16.6165	27600	inf	0.4566
1.7776	16.6767	27700	inf	0.4570
1.7981	16.7369	27800	inf	0.4562
1.7284	16.7971	27900	inf	0.4576
1.8703	16.8573	28000	inf	0.4574
1.6575	16.9175	28100	inf	0.4562
1.7891	16.9777	28200	inf	0.4558
1.7684	17.0379	28300	inf	0.4537
1.8055	17.0981	28400	inf	0.4529
1.895	17.1583	28500	inf	0.4519
1.7252	17.2185	28600	inf	0.4507
1.8919	17.2787	28700	inf	0.4490
1.7846	17.3390	28800	inf	0.4503
1.8303	17.3992	28900	inf	0.4476
1.6867	17.4594	29000	inf	0.4486
1.7741	17.5196	29100	inf	0.4496
1.9772	17.5798	29200	inf	0.4482
1.5981	17.6400	29300	inf	0.4474
1.761	17.7002	29400	inf	0.4466
1.7124	17.7604	29500	inf	0.4455
1.6755	17.8206	29600	inf	0.4468
1.7106	17.8808	29700	inf	0.4453
1.7005	17.9410	29800	inf	0.4445
1.895	18.0012	29900	inf	0.4437
1.5989	18.0614	30000	inf	0.4392
1.6608	18.1216	30100	inf	0.4406
1.7436	18.1818	30200	inf	0.4420
1.8082	18.2420	30300	inf	0.4423
1.638	18.3022	30400	inf	0.4410
1.746	18.3624	30500	inf	0.4402
1.7842	18.4226	30600	inf	0.4384
1.8155	18.4828	30700	inf	0.4382
1.6884	18.5430	30800	inf	0.4365
1.9028	18.6033	30900	inf	0.4369
1.7206	18.6635	31000	inf	0.4363
1.704	18.7237	31100	inf	0.4373
1.7998	18.7839	31200	inf	0.4379
1.6665	18.8441	31300	inf	0.4375
1.9113	18.9043	31400	inf	0.4340
1.7787	18.9645	31500	inf	0.4341
1.6843	19.0247	31600	inf	0.4330
1.6615	19.0849	31700	inf	0.4328
1.6965	19.1451	31800	inf	0.4308
1.7003	19.2053	31900	inf	0.4302
1.7476	19.2655	32000	inf	0.4302
1.6831	19.3257	32100	inf	0.4324
1.8885	19.3859	32200	inf	0.4287
1.6954	19.4461	32300	inf	0.4281
1.7848	19.5063	32400	inf	0.4260
1.6711	19.5665	32500	inf	0.4265
1.6896	19.6267	32600	inf	0.4244
1.7142	19.6869	32700	inf	0.4258
1.6203	19.7471	32800	inf	0.4252
1.6878	19.8073	32900	inf	0.4258

Framework versions

Transformers 4.43.4
Pytorch 2.4.1
Datasets 3.0.0
Tokenizers 0.19.1

sqrk/All_balanced-mms1ball-adaptertest-Nov28

All_balanced-mms1ball-adaptertest-Nov28

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sqrk/
All_balanced-mms1ball-adaptertest-Nov28