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# ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2

This model is a fine-tuned version of [gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2](https://huggingface.co/gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2311
- Wer: 0.1042

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 100.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9329        | 1.0   | 72   | 0.4334          | 0.1349 |
| 0.7631        | 2.0   | 144  | 0.3390          | 0.1318 |
| 0.7575        | 3.0   | 216  | 0.3182          | 0.1441 |
| 0.667         | 4.0   | 288  | 0.2995          | 0.1288 |
| 0.6474        | 5.0   | 360  | 0.3211          | 0.1574 |
| 0.6094        | 6.0   | 432  | 0.2944          | 0.1530 |
| 0.5586        | 7.0   | 504  | 0.3446          | 0.1809 |
| 0.5728        | 8.0   | 576  | 0.2682          | 0.1246 |
| 0.575         | 9.0   | 648  | 0.2610          | 0.1244 |
| 0.5882        | 10.0  | 720  | 0.2463          | 0.1199 |
| 0.5367        | 11.0  | 792  | 0.2542          | 0.1093 |
| 0.5261        | 12.0  | 864  | 0.2523          | 0.1131 |
| 0.5091        | 13.0  | 936  | 0.2491          | 0.1175 |
| 0.5323        | 14.0  | 1008 | 0.2535          | 0.1208 |
| 0.5478        | 15.0  | 1080 | 0.2542          | 0.1204 |
| 0.4775        | 16.0  | 1152 | 0.2476          | 0.1138 |
| 0.4922        | 17.0  | 1224 | 0.2535          | 0.1162 |
| 0.4893        | 18.0  | 1296 | 0.2501          | 0.1143 |
| 0.4672        | 19.0  | 1368 | 0.2703          | 0.1162 |
| 0.4764        | 20.0  | 1440 | 0.2632          | 0.1253 |
| 0.4716        | 21.0  | 1512 | 0.2534          | 0.1097 |
| 0.4733        | 22.0  | 1584 | 0.2496          | 0.1086 |
| 0.4577        | 23.0  | 1656 | 0.2637          | 0.1225 |
| 0.4714        | 24.0  | 1728 | 0.2489          | 0.1102 |
| 0.4615        | 25.0  | 1800 | 0.2399          | 0.1020 |
| 0.4636        | 26.0  | 1872 | 0.2311          | 0.1042 |
| 0.4564        | 27.0  | 1944 | 0.2413          | 0.1042 |
| 0.4452        | 28.0  | 2016 | 0.2436          | 0.1037 |
| 0.4336        | 29.0  | 2088 | 0.2484          | 0.1070 |
| 0.4628        | 30.0  | 2160 | 0.2385          | 0.1005 |
| 0.4475        | 31.0  | 2232 | 0.2446          | 0.1075 |
| 0.4264        | 32.0  | 2304 | 0.2548          | 0.1068 |
| 0.4417        | 33.0  | 2376 | 0.2442          | 0.1046 |
| 0.4165        | 34.0  | 2448 | 0.2458          | 0.1045 |
| 0.4398        | 35.0  | 2520 | 0.2475          | 0.0979 |
| 0.4334        | 36.0  | 2592 | 0.2375          | 0.1027 |
| 0.4279        | 37.0  | 2664 | 0.2462          | 0.1053 |
| 0.4213        | 38.0  | 2736 | 0.2402          | 0.1028 |
| 0.4394        | 39.0  | 2808 | 0.2385          | 0.1020 |
| 0.4415        | 40.0  | 2880 | 0.2428          | 0.1021 |
| 0.4173        | 41.0  | 2952 | 0.2356          | 0.1016 |
| 0.4006        | 42.0  | 3024 | 0.2461          | 0.1007 |
| 0.4055        | 43.0  | 3096 | 0.2412          | 0.0998 |
| 0.4163        | 44.0  | 3168 | 0.2378          | 0.0976 |
| 0.4143        | 45.0  | 3240 | 0.2471          | 0.0996 |
| 0.4132        | 46.0  | 3312 | 0.2457          | 0.1004 |
| 0.3991        | 47.0  | 3384 | 0.2350          | 0.1019 |
| 0.4014        | 48.0  | 3456 | 0.2400          | 0.1025 |
| 0.416         | 49.0  | 3528 | 0.2370          | 0.1010 |
| 0.4067        | 50.0  | 3600 | 0.2444          | 0.1010 |
| 0.3876        | 51.0  | 3672 | 0.2491          | 0.1057 |
| 0.3964        | 52.0  | 3744 | 0.2451          | 0.1075 |
| 0.3903        | 53.0  | 3816 | 0.2395          | 0.1003 |
| 0.4036        | 54.0  | 3888 | 0.2446          | 0.1016 |
| 0.3936        | 55.0  | 3960 | 0.2520          | 0.0997 |
| 0.4094        | 56.0  | 4032 | 0.2401          | 0.0992 |
| 0.3977        | 57.0  | 4104 | 0.2498          | 0.1019 |
| 0.3942        | 58.0  | 4176 | 0.2496          | 0.0989 |
| 0.4052        | 59.0  | 4248 | 0.2507          | 0.1021 |
| 0.3995        | 60.0  | 4320 | 0.2382          | 0.0999 |
| 0.407         | 61.0  | 4392 | 0.2517          | 0.1037 |
| 0.4067        | 62.0  | 4464 | 0.2430          | 0.1034 |
| 0.3887        | 63.0  | 4536 | 0.2415          | 0.0974 |
| 0.3837        | 64.0  | 4608 | 0.2435          | 0.0991 |
| 0.3954        | 65.0  | 4680 | 0.2384          | 0.0985 |
| 0.3726        | 66.0  | 4752 | 0.2550          | 0.1009 |
| 0.3659        | 67.0  | 4824 | 0.2523          | 0.0967 |
| 0.376         | 68.0  | 4896 | 0.2571          | 0.0973 |
| 0.3759        | 69.0  | 4968 | 0.2528          | 0.0981 |
| 0.3862        | 70.0  | 5040 | 0.2496          | 0.0976 |
| 0.367         | 71.0  | 5112 | 0.2465          | 0.0942 |
| 0.3688        | 72.0  | 5184 | 0.2505          | 0.0968 |
| 0.3817        | 73.0  | 5256 | 0.2525          | 0.0973 |
| 0.3675        | 74.0  | 5328 | 0.2441          | 0.0964 |
| 0.3727        | 75.0  | 5400 | 0.2440          | 0.0973 |
| 0.371         | 76.0  | 5472 | 0.2510          | 0.0971 |
| 0.3761        | 77.0  | 5544 | 0.2398          | 0.0961 |
| 0.358         | 78.0  | 5616 | 0.2485          | 0.0956 |
| 0.3521        | 79.0  | 5688 | 0.2438          | 0.0955 |
| 0.3722        | 80.0  | 5760 | 0.2422          | 0.0967 |
| 0.3663        | 81.0  | 5832 | 0.2463          | 0.0949 |
| 0.3716        | 82.0  | 5904 | 0.2467          | 0.0965 |
| 0.361         | 83.0  | 5976 | 0.2458          | 0.0957 |
| 0.3626        | 84.0  | 6048 | 0.2501          | 0.0942 |
| 0.3755        | 85.0  | 6120 | 0.2486          | 0.0943 |
| 0.3693        | 86.0  | 6192 | 0.2497          | 0.0947 |
| 0.3548        | 87.0  | 6264 | 0.2515          | 0.0958 |
| 0.3583        | 88.0  | 6336 | 0.2433          | 0.0937 |
| 0.3678        | 89.0  | 6408 | 0.2456          | 0.0933 |
| 0.3718        | 90.0  | 6480 | 0.2443          | 0.0937 |
| 0.3614        | 91.0  | 6552 | 0.2457          | 0.0957 |
| 0.3541        | 92.0  | 6624 | 0.2450          | 0.0953 |
| 0.3671        | 93.0  | 6696 | 0.2469          | 0.0944 |
| 0.3503        | 94.0  | 6768 | 0.2459          | 0.0956 |
| 0.3692        | 95.0  | 6840 | 0.2461          | 0.0944 |
| 0.362         | 96.0  | 6912 | 0.2430          | 0.0945 |
| 0.3431        | 97.0  | 6984 | 0.2454          | 0.0952 |
| 0.3597        | 98.0  | 7056 | 0.2454          | 0.0940 |
| 0.354         | 99.0  | 7128 | 0.2448          | 0.0939 |
| 0.3597        | 100.0 | 7200 | 0.2449          | 0.0943 |


### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1

{"tags": ["automatic-speech-recognition", "gary109/AI_Light_Dance", "generated_from_trainer"], "model-index": [{"name": "ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2", "results": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition gary109/AI_Light_Dance generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #endpoints_compatible #region-us 

ai-light-dance\_singing4\_ft\_wav2vec2-large-xlsr-53-5gram-v4-2
===============================================================


This model is a fine-tuned version of gary109/ai-light-dance\_singing2\_ft\_wav2vec2-large-xlsr-53-5gram-v4-2 on the GARY109/AI\_LIGHT\_DANCE - ONSET-SINGING4 dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2311
* Wer: 0.1042


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: 4e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 100.0
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 100.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 100.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 100.0
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1