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gary109
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ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2-1

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
gary109/AI_Light_Dance
generated_from_trainer
Inference Endpoints
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2-1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2-1
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+
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+ This model is a fine-tuned version of [gary109/ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2](https://huggingface.co/gary109/ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2235
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+ - Wer: 0.0982
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 4e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 100.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.4531 | 1.0 | 72 | 0.2317 | 0.1021 |
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+ | 0.4479 | 2.0 | 144 | 0.2335 | 0.1014 |
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+ | 0.4475 | 3.0 | 216 | 0.2340 | 0.1000 |
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+ | 0.4432 | 4.0 | 288 | 0.2372 | 0.0993 |
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+ | 0.447 | 5.0 | 360 | 0.2350 | 0.1008 |
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+ | 0.4318 | 6.0 | 432 | 0.2332 | 0.0989 |
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+ | 0.4162 | 7.0 | 504 | 0.2338 | 0.1002 |
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+ | 0.4365 | 8.0 | 576 | 0.2321 | 0.0990 |
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+ | 0.4318 | 9.0 | 648 | 0.2313 | 0.0992 |
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+ | 0.4513 | 10.0 | 720 | 0.2336 | 0.0994 |
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+ | 0.4257 | 11.0 | 792 | 0.2310 | 0.0982 |
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+ | 0.418 | 12.0 | 864 | 0.2316 | 0.0989 |
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+ | 0.4122 | 13.0 | 936 | 0.2341 | 0.0971 |
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+ | 0.4265 | 14.0 | 1008 | 0.2322 | 0.0992 |
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+ | 0.4477 | 15.0 | 1080 | 0.2334 | 0.0987 |
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+ | 0.4023 | 16.0 | 1152 | 0.2351 | 0.0971 |
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+ | 0.4095 | 17.0 | 1224 | 0.2304 | 0.0977 |
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+ | 0.42 | 18.0 | 1296 | 0.2313 | 0.0976 |
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+ | 0.3988 | 19.0 | 1368 | 0.2299 | 0.0984 |
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+ | 0.4078 | 20.0 | 1440 | 0.2310 | 0.0970 |
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+ | 0.4131 | 21.0 | 1512 | 0.2293 | 0.1007 |
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+ | 0.4209 | 22.0 | 1584 | 0.2313 | 0.0998 |
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+ | 0.3931 | 23.0 | 1656 | 0.2351 | 0.1014 |
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+ | 0.406 | 24.0 | 1728 | 0.2336 | 0.0992 |
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+ | 0.3998 | 25.0 | 1800 | 0.2355 | 0.1009 |
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+ | 0.4197 | 26.0 | 1872 | 0.2346 | 0.0996 |
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+ | 0.4289 | 27.0 | 1944 | 0.2283 | 0.1001 |
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+ | 0.4197 | 28.0 | 2016 | 0.2281 | 0.1000 |
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+ | 0.4107 | 29.0 | 2088 | 0.2327 | 0.1007 |
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+ | 0.442 | 30.0 | 2160 | 0.2279 | 0.0985 |
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+ | 0.4315 | 31.0 | 2232 | 0.2284 | 0.0993 |
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+ | 0.4095 | 32.0 | 2304 | 0.2275 | 0.0998 |
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+ | 0.4277 | 33.0 | 2376 | 0.2281 | 0.0996 |
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+ | 0.4114 | 34.0 | 2448 | 0.2267 | 0.1008 |
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+ | 0.4311 | 35.0 | 2520 | 0.2274 | 0.0982 |
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+ | 0.4193 | 36.0 | 2592 | 0.2259 | 0.0987 |
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+ | 0.421 | 37.0 | 2664 | 0.2277 | 0.0989 |
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+ | 0.4084 | 38.0 | 2736 | 0.2268 | 0.0992 |
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+ | 0.4302 | 39.0 | 2808 | 0.2287 | 0.0996 |
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+ | 0.4379 | 40.0 | 2880 | 0.2281 | 0.0984 |
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+ | 0.415 | 41.0 | 2952 | 0.2270 | 0.1006 |
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+ | 0.4035 | 42.0 | 3024 | 0.2299 | 0.0992 |
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+ | 0.4103 | 43.0 | 3096 | 0.2257 | 0.0987 |
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+ | 0.4187 | 44.0 | 3168 | 0.2260 | 0.0975 |
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+ | 0.4254 | 45.0 | 3240 | 0.2273 | 0.0985 |
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+ | 0.415 | 46.0 | 3312 | 0.2312 | 0.1000 |
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+ | 0.4069 | 47.0 | 3384 | 0.2270 | 0.1003 |
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+ | 0.4085 | 48.0 | 3456 | 0.2230 | 0.0978 |
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+ | 0.4287 | 49.0 | 3528 | 0.2241 | 0.0989 |
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+ | 0.4227 | 50.0 | 3600 | 0.2233 | 0.0994 |
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+ | 0.3998 | 51.0 | 3672 | 0.2268 | 0.0991 |
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+ | 0.4139 | 52.0 | 3744 | 0.2224 | 0.0987 |
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+ | 0.409 | 53.0 | 3816 | 0.2256 | 0.1001 |
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+ | 0.4191 | 54.0 | 3888 | 0.2264 | 0.0991 |
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+ | 0.4156 | 55.0 | 3960 | 0.2237 | 0.0993 |
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+ | 0.4252 | 56.0 | 4032 | 0.2250 | 0.0988 |
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+ | 0.4207 | 57.0 | 4104 | 0.2246 | 0.0989 |
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+ | 0.4143 | 58.0 | 4176 | 0.2248 | 0.0981 |
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+ | 0.4261 | 59.0 | 4248 | 0.2237 | 0.0973 |
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+ | 0.4212 | 60.0 | 4320 | 0.2243 | 0.0976 |
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+ | 0.426 | 61.0 | 4392 | 0.2230 | 0.0983 |
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+ | 0.4257 | 62.0 | 4464 | 0.2230 | 0.0977 |
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+ | 0.4102 | 63.0 | 4536 | 0.2219 | 0.0976 |
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+ | 0.4133 | 64.0 | 4608 | 0.2221 | 0.0984 |
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+ | 0.4257 | 65.0 | 4680 | 0.2236 | 0.0982 |
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+ | 0.4006 | 66.0 | 4752 | 0.2231 | 0.0992 |
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+ | 0.404 | 67.0 | 4824 | 0.2227 | 0.0983 |
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+ | 0.409 | 68.0 | 4896 | 0.2235 | 0.0991 |
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+ | 0.4075 | 69.0 | 4968 | 0.2242 | 0.0978 |
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+ | 0.4167 | 70.0 | 5040 | 0.2248 | 0.0989 |
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+ | 0.4026 | 71.0 | 5112 | 0.2242 | 0.0985 |
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+ | 0.404 | 72.0 | 5184 | 0.2236 | 0.0989 |
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+ | 0.4162 | 73.0 | 5256 | 0.2241 | 0.0986 |
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+ | 0.4094 | 74.0 | 5328 | 0.2244 | 0.0991 |
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+ | 0.4147 | 75.0 | 5400 | 0.2247 | 0.0989 |
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+ | 0.4096 | 76.0 | 5472 | 0.2244 | 0.0983 |
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+ | 0.4112 | 77.0 | 5544 | 0.2236 | 0.0981 |
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+ | 0.3987 | 78.0 | 5616 | 0.2242 | 0.0982 |
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+ | 0.3953 | 79.0 | 5688 | 0.2259 | 0.0983 |
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+ | 0.4093 | 80.0 | 5760 | 0.2239 | 0.0991 |
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+ | 0.406 | 81.0 | 5832 | 0.2238 | 0.0980 |
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+ | 0.4149 | 82.0 | 5904 | 0.2240 | 0.0995 |
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+ | 0.4017 | 83.0 | 5976 | 0.2240 | 0.0987 |
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+ | 0.4065 | 84.0 | 6048 | 0.2245 | 0.0979 |
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+ | 0.4315 | 85.0 | 6120 | 0.2249 | 0.0978 |
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+ | 0.421 | 86.0 | 6192 | 0.2239 | 0.0977 |
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+ | 0.4061 | 87.0 | 6264 | 0.2243 | 0.0974 |
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+ | 0.4096 | 88.0 | 6336 | 0.2244 | 0.0982 |
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+ | 0.4171 | 89.0 | 6408 | 0.2246 | 0.0974 |
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+ | 0.4189 | 90.0 | 6480 | 0.2240 | 0.0980 |
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+ | 0.4106 | 91.0 | 6552 | 0.2236 | 0.0978 |
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+ | 0.408 | 92.0 | 6624 | 0.2234 | 0.0983 |
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+ | 0.4218 | 93.0 | 6696 | 0.2239 | 0.0985 |
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+ | 0.3997 | 94.0 | 6768 | 0.2237 | 0.0983 |
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+ | 0.4173 | 95.0 | 6840 | 0.2238 | 0.0980 |
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+ | 0.4134 | 96.0 | 6912 | 0.2235 | 0.0982 |
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+ | 0.3959 | 97.0 | 6984 | 0.2237 | 0.0979 |
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+ | 0.4149 | 98.0 | 7056 | 0.2238 | 0.0982 |
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+ | 0.4125 | 99.0 | 7128 | 0.2238 | 0.0983 |
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+ | 0.4111 | 100.0 | 7200 | 0.2235 | 0.0982 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.0.dev0
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+ - Pytorch 1.9.1+cu102
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+ - Datasets 2.3.3.dev0
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+ - Tokenizers 0.12.1