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# ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram

This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4505
- Wer: 0.2119

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3355        | 1.0   | 144   | 0.4505          | 0.2119 |
| 0.3069        | 2.0   | 288   | 0.4509          | 0.2124 |
| 0.3049        | 3.0   | 432   | 0.4511          | 0.2119 |
| 0.3028        | 4.0   | 576   | 0.4521          | 0.2114 |
| 0.3092        | 5.0   | 720   | 0.4532          | 0.2112 |
| 0.3043        | 6.0   | 864   | 0.4536          | 0.2117 |
| 0.2903        | 7.0   | 1008  | 0.4543          | 0.2114 |
| 0.3124        | 8.0   | 1152  | 0.4538          | 0.2118 |
| 0.3079        | 9.0   | 1296  | 0.4541          | 0.2121 |
| 0.3093        | 10.0  | 1440  | 0.4537          | 0.2117 |
| 0.3093        | 11.0  | 1584  | 0.4544          | 0.2111 |
| 0.3202        | 12.0  | 1728  | 0.4549          | 0.2110 |
| 0.3086        | 13.0  | 1872  | 0.4546          | 0.2104 |
| 0.2947        | 14.0  | 2016  | 0.4542          | 0.2119 |
| 0.3145        | 15.0  | 2160  | 0.4539          | 0.2115 |
| 0.3292        | 16.0  | 2304  | 0.4532          | 0.2115 |
| 0.3049        | 17.0  | 2448  | 0.4547          | 0.2117 |
| 0.3177        | 18.0  | 2592  | 0.4544          | 0.2111 |
| 0.3108        | 19.0  | 2736  | 0.4547          | 0.2114 |
| 0.2944        | 20.0  | 2880  | 0.4560          | 0.2105 |
| 0.3232        | 21.0  | 3024  | 0.4560          | 0.2113 |
| 0.3196        | 22.0  | 3168  | 0.4559          | 0.2107 |
| 0.3207        | 23.0  | 3312  | 0.4563          | 0.2106 |
| 0.3039        | 24.0  | 3456  | 0.4555          | 0.2110 |
| 0.3157        | 25.0  | 3600  | 0.4560          | 0.2117 |
| 0.3285        | 26.0  | 3744  | 0.4561          | 0.2102 |
| 0.3125        | 27.0  | 3888  | 0.4553          | 0.2107 |
| 0.3051        | 28.0  | 4032  | 0.4560          | 0.2103 |
| 0.3166        | 29.0  | 4176  | 0.4560          | 0.2103 |
| 0.321         | 30.0  | 4320  | 0.4551          | 0.2101 |
| 0.3146        | 31.0  | 4464  | 0.4552          | 0.2100 |
| 0.323         | 32.0  | 4608  | 0.4551          | 0.2105 |
| 0.3223        | 33.0  | 4752  | 0.4554          | 0.2101 |
| 0.3105        | 34.0  | 4896  | 0.4549          | 0.2102 |
| 0.3134        | 35.0  | 5040  | 0.4552          | 0.2101 |
| 0.3054        | 36.0  | 5184  | 0.4550          | 0.2103 |
| 0.3162        | 37.0  | 5328  | 0.4554          | 0.2106 |
| 0.3094        | 38.0  | 5472  | 0.4551          | 0.2099 |
| 0.3174        | 39.0  | 5616  | 0.4553          | 0.2105 |
| 0.3218        | 40.0  | 5760  | 0.4553          | 0.2106 |
| 0.3134        | 41.0  | 5904  | 0.4552          | 0.2101 |
| 0.3019        | 42.0  | 6048  | 0.4552          | 0.2101 |
| 0.3169        | 43.0  | 6192  | 0.4552          | 0.2095 |
| 0.3209        | 44.0  | 6336  | 0.4550          | 0.2090 |
| 0.3035        | 45.0  | 6480  | 0.4550          | 0.2100 |
| 0.3181        | 46.0  | 6624  | 0.4550          | 0.2104 |
| 0.3133        | 47.0  | 6768  | 0.4546          | 0.2096 |
| 0.3173        | 48.0  | 6912  | 0.4556          | 0.2099 |
| 0.3174        | 49.0  | 7056  | 0.4552          | 0.2101 |
| 0.313         | 50.0  | 7200  | 0.4553          | 0.2100 |
| 0.3139        | 51.0  | 7344  | 0.4555          | 0.2101 |
| 0.3054        | 52.0  | 7488  | 0.4555          | 0.2100 |
| 0.3212        | 53.0  | 7632  | 0.4554          | 0.2097 |
| 0.3252        | 54.0  | 7776  | 0.4553          | 0.2097 |
| 0.3063        | 55.0  | 7920  | 0.4554          | 0.2106 |
| 0.3206        | 56.0  | 8064  | 0.4551          | 0.2097 |
| 0.3176        | 57.0  | 8208  | 0.4552          | 0.2101 |
| 0.3179        | 58.0  | 8352  | 0.4554          | 0.2099 |
| 0.3064        | 59.0  | 8496  | 0.4559          | 0.2092 |
| 0.301         | 60.0  | 8640  | 0.4559          | 0.2103 |
| 0.3103        | 61.0  | 8784  | 0.4559          | 0.2102 |
| 0.3169        | 62.0  | 8928  | 0.4559          | 0.2103 |
| 0.3081        | 63.0  | 9072  | 0.4559          | 0.2101 |
| 0.3249        | 64.0  | 9216  | 0.4555          | 0.2106 |
| 0.3031        | 65.0  | 9360  | 0.4553          | 0.2105 |
| 0.3017        | 66.0  | 9504  | 0.4556          | 0.2105 |
| 0.3261        | 67.0  | 9648  | 0.4551          | 0.2100 |
| 0.3196        | 68.0  | 9792  | 0.4553          | 0.2096 |
| 0.3085        | 69.0  | 9936  | 0.4554          | 0.2095 |
| 0.3235        | 70.0  | 10080 | 0.4552          | 0.2096 |
| 0.3194        | 71.0  | 10224 | 0.4550          | 0.2102 |
| 0.3243        | 72.0  | 10368 | 0.4546          | 0.2098 |
| 0.3115        | 73.0  | 10512 | 0.4542          | 0.2101 |
| 0.3307        | 74.0  | 10656 | 0.4545          | 0.2100 |
| 0.3072        | 75.0  | 10800 | 0.4547          | 0.2100 |
| 0.3218        | 76.0  | 10944 | 0.4545          | 0.2102 |
| 0.3116        | 77.0  | 11088 | 0.4540          | 0.2103 |
| 0.3021        | 78.0  | 11232 | 0.4542          | 0.2101 |
| 0.3165        | 79.0  | 11376 | 0.4539          | 0.2109 |
| 0.327         | 80.0  | 11520 | 0.4539          | 0.2090 |
| 0.3268        | 81.0  | 11664 | 0.4540          | 0.2110 |
| 0.304         | 82.0  | 11808 | 0.4537          | 0.2097 |
| 0.3256        | 83.0  | 11952 | 0.4537          | 0.2102 |
| 0.3208        | 84.0  | 12096 | 0.4544          | 0.2101 |
| 0.3199        | 85.0  | 12240 | 0.4541          | 0.2094 |
| 0.3104        | 86.0  | 12384 | 0.4543          | 0.2097 |
| 0.3218        | 87.0  | 12528 | 0.4542          | 0.2106 |
| 0.3301        | 88.0  | 12672 | 0.4538          | 0.2098 |
| 0.3055        | 89.0  | 12816 | 0.4540          | 0.2101 |
| 0.3154        | 90.0  | 12960 | 0.4533          | 0.2098 |
| 0.3169        | 91.0  | 13104 | 0.4543          | 0.2098 |
| 0.3122        | 92.0  | 13248 | 0.4541          | 0.2098 |
| 0.319         | 93.0  | 13392 | 0.4536          | 0.2094 |
| 0.307         | 94.0  | 13536 | 0.4538          | 0.2092 |
| 0.3132        | 95.0  | 13680 | 0.4540          | 0.2094 |
| 0.3185        | 96.0  | 13824 | 0.4536          | 0.2099 |
| 0.2996        | 97.0  | 13968 | 0.4541          | 0.2100 |
| 0.3193        | 98.0  | 14112 | 0.4539          | 0.2092 |
| 0.3091        | 99.0  | 14256 | 0.4538          | 0.2096 |
| 0.315         | 100.0 | 14400 | 0.4544          | 0.2100 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["automatic-speech-recognition", "gary109/AI_Light_Dance", "generated_from_trainer"], "model-index": [{"name": "ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram", "results": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition gary109/AI_Light_Dance generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

ai-light-dance\_singing3\_ft\_wav2vec2-large-xlsr-53-v1-5gram
=============================================================


This model is a fine-tuned version of gary109/ai-light-dance\_singing3\_ft\_wav2vec2-large-xlsr-53-v1-5gram on the GARY109/AI\_LIGHT\_DANCE - ONSET-SINGING3 dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4505
* Wer: 0.2119


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-07
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* 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: 1e-07
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* 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 #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-07
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* 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 #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-07
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 32
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* 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