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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 +35 -27
  2. model.safetensors +1 -1
  3. runs/May31_06-27-23_af3b5d38d2a2/events.out.tfevents.1717133258.af3b5d38d2a2.810.0 +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: 1.5563
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- - Wer: 0.8702
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  ## Model description
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@@ -40,39 +38,49 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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- - train_batch_size: 128
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  - eval_batch_size: 8
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  - seed: 42
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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: 2000
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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 | 0.3096 | 100 | 3.5623 | 1.0 |
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- | No log | 0.6192 | 200 | 3.1175 | 1.0 |
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- | No log | 0.9288 | 300 | 3.2933 | 1.0 |
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- | No log | 1.2384 | 400 | 0.9765 | 0.6866 |
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- | 3.7398 | 1.5480 | 500 | 0.6787 | 0.4922 |
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- | 3.7398 | 1.8576 | 600 | 0.6015 | 0.4347 |
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- | 3.7398 | 2.1672 | 700 | 0.5699 | 0.4273 |
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- | 3.7398 | 2.4768 | 800 | 0.5419 | 0.3958 |
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- | 3.7398 | 2.7864 | 900 | 0.4971 | 0.3730 |
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- | 0.5228 | 3.0960 | 1000 | 0.4960 | 0.3543 |
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- | 0.5228 | 3.4056 | 1100 | 0.6977 | 0.4655 |
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- | 0.5228 | 3.7152 | 1200 | 0.7999 | 0.5316 |
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- | 0.5228 | 4.0248 | 1300 | 1.0526 | 0.6215 |
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- | 0.5228 | 4.3344 | 1400 | 1.1285 | 0.7572 |
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- | 0.9047 | 4.6440 | 1500 | 1.1593 | 0.7047 |
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- | 0.9047 | 4.9536 | 1600 | 2.0401 | 0.9667 |
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- | 0.9047 | 5.2632 | 1700 | 1.6264 | 0.8680 |
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- | 0.9047 | 5.5728 | 1800 | 1.5916 | 0.8627 |
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- | 0.9047 | 5.8824 | 1900 | 1.5764 | 0.8720 |
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- | 1.6715 | 6.1920 | 2000 | 1.5563 | 0.8702 |
 
 
 
 
 
 
 
 
 
 
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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: 0.5355
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+ - Wer: 0.4186
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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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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  - 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: 3000
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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 | 0.0194 | 100 | 3.5494 | 1.0 |
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+ | No log | 0.0387 | 200 | 3.0426 | 1.0 |
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+ | No log | 0.0581 | 300 | 2.8965 | 1.0 |
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+ | No log | 0.0774 | 400 | 1.8263 | 0.9829 |
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+ | 3.9715 | 0.0968 | 500 | 1.3860 | 0.8749 |
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+ | 3.9715 | 0.1161 | 600 | 1.3084 | 0.8153 |
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+ | 3.9715 | 0.1355 | 700 | 1.0550 | 0.7337 |
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+ | 3.9715 | 0.1549 | 800 | 1.0012 | 0.7190 |
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+ | 3.9715 | 0.1742 | 900 | 0.9137 | 0.6752 |
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+ | 1.0155 | 0.1936 | 1000 | 0.8486 | 0.6469 |
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+ | 1.0155 | 0.2129 | 1100 | 0.8535 | 0.6112 |
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+ | 1.0155 | 0.2323 | 1200 | 0.8350 | 0.6193 |
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+ | 1.0155 | 0.2516 | 1300 | 0.7681 | 0.5670 |
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+ | 1.0155 | 0.2710 | 1400 | 0.7377 | 0.5559 |
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+ | 0.7987 | 0.2904 | 1500 | 0.7130 | 0.5437 |
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+ | 0.7987 | 0.3097 | 1600 | 0.7040 | 0.5452 |
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+ | 0.7987 | 0.3291 | 1700 | 0.6729 | 0.5051 |
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+ | 0.7987 | 0.3484 | 1800 | 0.6646 | 0.5113 |
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+ | 0.7987 | 0.3678 | 1900 | 0.6531 | 0.4969 |
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+ | 0.6851 | 0.3871 | 2000 | 0.6414 | 0.5038 |
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+ | 0.6851 | 0.4065 | 2100 | 0.6109 | 0.4677 |
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+ | 0.6851 | 0.4259 | 2200 | 0.6035 | 0.4692 |
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+ | 0.6851 | 0.4452 | 2300 | 0.5802 | 0.4590 |
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+ | 0.6851 | 0.4646 | 2400 | 0.5720 | 0.4455 |
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+ | 0.5979 | 0.4839 | 2500 | 0.5695 | 0.4426 |
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+ | 0.5979 | 0.5033 | 2600 | 0.5557 | 0.4351 |
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+ | 0.5979 | 0.5226 | 2700 | 0.5499 | 0.4270 |
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+ | 0.5979 | 0.5420 | 2800 | 0.5451 | 0.4258 |
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+ | 0.5979 | 0.5614 | 2900 | 0.5383 | 0.4217 |
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+ | 0.5753 | 0.5807 | 3000 | 0.5355 | 0.4186 |
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  ### Framework versions
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runs/May31_06-27-23_af3b5d38d2a2/events.out.tfevents.1717133258.af3b5d38d2a2.810.0 CHANGED
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