hello_2b_2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-2b on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

• Loss: 0.5324
• Wer: 0.5109

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: 5e-06
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.3543	0.92	100	3.4342	1.0
3.0521	1.85	200	3.1243	1.0
1.4905	2.77	300	1.1760	0.9876
0.5852	3.7	400	0.7678	0.7405
0.4442	4.63	500	0.7637	0.7179
0.3816	5.55	600	0.7114	0.6726
0.2923	6.48	700	0.7109	0.6837
0.2771	7.4	800	0.6800	0.6530
0.1643	8.33	900	0.6031	0.6089
0.2931	9.26	1000	0.6467	0.6308
0.1495	10.18	1100	0.6042	0.6085
0.2093	11.11	1200	0.5850	0.5889
0.1329	12.04	1300	0.5557	0.5567
0.1005	12.96	1400	0.5964	0.5814
0.2162	13.88	1500	0.5692	0.5626
0.0923	14.81	1600	0.5508	0.5462
0.075	15.74	1700	0.5477	0.5307
0.2029	16.66	1800	0.5501	0.5300
0.0985	17.59	1900	0.5350	0.5303
0.1674	18.51	2000	0.5429	0.5241
0.1305	19.44	2100	0.5645	0.5443
0.0774	20.37	2200	0.5313	0.5216
0.1372	21.29	2300	0.5644	0.5392
0.1095	22.22	2400	0.5577	0.5306
0.0958	23.15	2500	0.5461	0.5273
0.0544	24.07	2600	0.5290	0.5055
0.0579	24.99	2700	0.5295	0.5150
0.1213	25.92	2800	0.5311	0.5221
0.0691	26.85	2900	0.5228	0.5095
0.1729	27.77	3000	0.5340	0.5095
0.0697	28.7	3100	0.5334	0.5139
0.0734	29.63	3200	0.5323	0.5140

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0
• Datasets 1.15.2.dev0
• Tokenizers 0.10.3