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DewiBrynJones
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wav2vec2-xlsr-53-ft-btb-ccv-cy

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
Generated from Trainer
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  1. README.md +54 -32
  2. model.safetensors +1 -1
  3. runs/May27_13-44-18_5cce808c63ba/events.out.tfevents.1716813896.5cce808c63ba.274.0 +2 -2
README.md CHANGED
@@ -2,8 +2,6 @@
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  license: apache-2.0
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  base_model: facebook/wav2vec2-large-xlsr-53
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  tags:
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- - automatic-speech-recognition
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- - DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
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  - generated_from_trainer
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  metrics:
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  - wer
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-xlsr-53-ft-btb-ccv-cy
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- This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4593
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- - Wer: 0.3553
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  ## Model description
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@@ -46,39 +44,63 @@ The following hyperparameters were used during training:
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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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- - training_steps: 2600
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | No log | 0.0566 | 100 | 3.5994 | 1.0 |
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- | No log | 0.1133 | 200 | 3.0224 | 1.0 |
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- | No log | 0.1699 | 300 | 1.9627 | 0.9061 |
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- | No log | 0.2265 | 400 | 0.9921 | 0.6952 |
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- | 3.6184 | 0.2831 | 500 | 0.8504 | 0.6158 |
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- | 3.6184 | 0.3398 | 600 | 0.7936 | 0.5964 |
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- | 3.6184 | 0.3964 | 700 | 0.7601 | 0.5606 |
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- | 3.6184 | 0.4530 | 800 | 0.6909 | 0.5128 |
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- | 3.6184 | 0.5096 | 900 | 0.6617 | 0.4916 |
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- | 0.4662 | 0.5663 | 1000 | 0.6467 | 0.4812 |
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- | 0.4662 | 0.6229 | 1100 | 0.6144 | 0.4639 |
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- | 0.4662 | 0.6795 | 1200 | 0.5942 | 0.4537 |
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- | 0.4662 | 0.7361 | 1300 | 0.5675 | 0.4351 |
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- | 0.4662 | 0.7928 | 1400 | 0.5539 | 0.4230 |
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- | 0.3508 | 0.8494 | 1500 | 0.5448 | 0.4144 |
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- | 0.3508 | 0.9060 | 1600 | 0.5326 | 0.4066 |
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- | 0.3508 | 0.9626 | 1700 | 0.5155 | 0.3989 |
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- | 0.3508 | 1.0193 | 1800 | 0.5067 | 0.3856 |
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- | 0.3508 | 1.0759 | 1900 | 0.4916 | 0.3724 |
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- | 0.2774 | 1.1325 | 2000 | 0.4855 | 0.3697 |
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- | 0.2774 | 1.1891 | 2100 | 0.4798 | 0.3661 |
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- | 0.2774 | 1.2458 | 2200 | 0.4774 | 0.3646 |
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- | 0.2774 | 1.3024 | 2300 | 0.4699 | 0.3585 |
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- | 0.2774 | 1.3590 | 2400 | 0.4651 | 0.3550 |
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- | 0.2328 | 1.4156 | 2500 | 0.4611 | 0.3570 |
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- | 0.2328 | 1.4723 | 2600 | 0.4593 | 0.3553 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: facebook/wav2vec2-large-xlsr-53
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  tags:
 
 
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  - generated_from_trainer
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  metrics:
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  - wer
 
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  # wav2vec2-xlsr-53-ft-btb-ccv-cy
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4404
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+ - Wer: 0.3235
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  ## Model description
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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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+ - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | No log | 0.0566 | 100 | 3.5966 | 1.0 |
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+ | No log | 0.1133 | 200 | 3.5808 | 1.0 |
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+ | No log | 0.1699 | 300 | 2.2642 | 0.9884 |
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+ | No log | 0.2265 | 400 | 1.0231 | 0.7426 |
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+ | 3.6826 | 0.2831 | 500 | 0.9161 | 0.6457 |
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+ | 3.6826 | 0.3398 | 600 | 0.7942 | 0.5827 |
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+ | 3.6826 | 0.3964 | 700 | 0.7551 | 0.5417 |
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+ | 3.6826 | 0.4530 | 800 | 0.7243 | 0.5352 |
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+ | 3.6826 | 0.5096 | 900 | 0.6665 | 0.4985 |
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+ | 0.4714 | 0.5663 | 1000 | 0.6403 | 0.4863 |
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+ | 0.4714 | 0.6229 | 1100 | 0.6220 | 0.4727 |
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+ | 0.4714 | 0.6795 | 1200 | 0.6100 | 0.4642 |
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+ | 0.4714 | 0.7361 | 1300 | 0.5863 | 0.4442 |
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+ | 0.4714 | 0.7928 | 1400 | 0.5668 | 0.4384 |
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+ | 0.3661 | 0.8494 | 1500 | 0.5753 | 0.4421 |
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+ | 0.3661 | 0.9060 | 1600 | 0.5641 | 0.4311 |
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+ | 0.3661 | 0.9626 | 1700 | 0.5466 | 0.4153 |
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+ | 0.3661 | 1.0193 | 1800 | 0.5304 | 0.4023 |
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+ | 0.3661 | 1.0759 | 1900 | 0.5280 | 0.3938 |
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+ | 0.3069 | 1.1325 | 2000 | 0.5220 | 0.3902 |
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+ | 0.3069 | 1.1891 | 2100 | 0.5064 | 0.3929 |
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+ | 0.3069 | 1.2458 | 2200 | 0.5033 | 0.3823 |
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+ | 0.3069 | 1.3024 | 2300 | 0.4920 | 0.3773 |
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+ | 0.3069 | 1.3590 | 2400 | 0.4955 | 0.3737 |
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+ | 0.264 | 1.4156 | 2500 | 0.4955 | 0.3739 |
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+ | 0.264 | 1.4723 | 2600 | 0.4846 | 0.3651 |
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+ | 0.264 | 1.5289 | 2700 | 0.4761 | 0.3645 |
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+ | 0.264 | 1.5855 | 2800 | 0.4672 | 0.3627 |
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+ | 0.264 | 1.6421 | 2900 | 0.4645 | 0.3640 |
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+ | 0.2498 | 1.6988 | 3000 | 0.4652 | 0.3589 |
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+ | 0.2498 | 1.7554 | 3100 | 0.4596 | 0.3534 |
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+ | 0.2498 | 1.8120 | 3200 | 0.4505 | 0.3510 |
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+ | 0.2498 | 1.8686 | 3300 | 0.4490 | 0.3522 |
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+ | 0.2498 | 1.9253 | 3400 | 0.4460 | 0.3456 |
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+ | 0.2304 | 1.9819 | 3500 | 0.4440 | 0.3405 |
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+ | 0.2304 | 2.0385 | 3600 | 0.4493 | 0.3425 |
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+ | 0.2304 | 2.0951 | 3700 | 0.4386 | 0.3374 |
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+ | 0.2304 | 2.1518 | 3800 | 0.4424 | 0.3381 |
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+ | 0.2304 | 2.2084 | 3900 | 0.4385 | 0.3373 |
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+ | 0.1947 | 2.2650 | 4000 | 0.4394 | 0.3355 |
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+ | 0.1947 | 2.3216 | 4100 | 0.4354 | 0.3324 |
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+ | 0.1947 | 2.3783 | 4200 | 0.4345 | 0.3325 |
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+ | 0.1947 | 2.4349 | 4300 | 0.4343 | 0.3331 |
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+ | 0.1947 | 2.4915 | 4400 | 0.4517 | 0.3349 |
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+ | 0.1996 | 2.5481 | 4500 | 0.4571 | 0.3328 |
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+ | 0.1996 | 2.6048 | 4600 | 0.4423 | 0.3255 |
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+ | 0.1996 | 2.6614 | 4700 | 0.4405 | 0.3254 |
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+ | 0.1996 | 2.7180 | 4800 | 0.4437 | 0.3238 |
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+ | 0.1996 | 2.7746 | 4900 | 0.4401 | 0.3232 |
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+ | 0.2024 | 2.8313 | 5000 | 0.4404 | 0.3235 |
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  ### Framework versions
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runs/May27_13-44-18_5cce808c63ba/events.out.tfevents.1716813896.5cce808c63ba.274.0 CHANGED
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