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aconeil
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w2v2-lmk_updated

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
aconeil commited on
Commit
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End of training

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Files changed (3) hide show
  1. README.md +20 -20
  2. model.safetensors +1 -1
  3. runs/Nov21_15-28-53_x1001c1s7b0n1/events.out.tfevents.1763756943.x1001c1s7b0n1.480367.0 +2 -2
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.7700348432055749
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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
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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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 audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2629
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- - Wer: 0.7700
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- - Cer: 0.3244
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  ## Model description
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@@ -70,22 +70,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 5.732 | 6.25 | 100 | 3.3371 | 1.0 | 1.0 |
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- | 3.0052 | 12.5 | 200 | 2.8812 | 1.0 | 1.0 |
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- | 2.6434 | 18.75 | 300 | 2.3653 | 1.0 | 0.8850 |
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- | 0.8393 | 25.0 | 400 | 1.5602 | 0.7770 | 0.3488 |
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- | 0.2892 | 31.25 | 500 | 1.6106 | 0.7770 | 0.3298 |
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- | 0.1167 | 37.5 | 600 | 1.7649 | 0.7909 | 0.3267 |
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- | 0.0595 | 43.75 | 700 | 1.8324 | 0.7666 | 0.3138 |
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- | 0.0337 | 50.0 | 800 | 2.0307 | 0.7875 | 0.3351 |
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- | 0.0222 | 56.25 | 900 | 2.0604 | 0.7840 | 0.3305 |
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- | 0.015 | 62.5 | 1000 | 2.1389 | 0.7735 | 0.3313 |
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- | 0.0127 | 68.75 | 1100 | 2.1756 | 0.7700 | 0.3260 |
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- | 0.0109 | 75.0 | 1200 | 2.2084 | 0.7805 | 0.3283 |
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- | 0.0097 | 81.25 | 1300 | 2.2374 | 0.7805 | 0.3267 |
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- | 0.0088 | 87.5 | 1400 | 2.2508 | 0.7700 | 0.3252 |
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- | 0.008 | 93.75 | 1500 | 2.2586 | 0.7735 | 0.3252 |
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- | 0.0077 | 100.0 | 1600 | 2.2629 | 0.7700 | 0.3244 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.9372822299651568
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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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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4927
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+ - Wer: 0.9373
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+ - Cer: 0.4631
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 11.1283 | 6.25 | 100 | 7.6957 | 1.0 | 1.0 |
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+ | 3.4765 | 12.5 | 200 | 3.0361 | 1.0 | 1.0 |
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+ | 3.0411 | 18.75 | 300 | 2.9111 | 1.0 | 1.0 |
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+ | 2.9832 | 25.0 | 400 | 2.8719 | 1.0 | 1.0 |
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+ | 2.9412 | 31.25 | 500 | 2.8650 | 1.0 | 1.0 |
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+ | 2.9002 | 37.5 | 600 | 2.8412 | 1.0 | 1.0 |
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+ | 2.9023 | 43.75 | 700 | 2.8232 | 1.0 | 1.0 |
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+ | 2.7997 | 50.0 | 800 | 2.6466 | 1.0 | 0.9985 |
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+ | 2.7052 | 56.25 | 900 | 2.4730 | 1.0 | 0.9863 |
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+ | 2.5173 | 62.5 | 1000 | 2.2351 | 1.0 | 0.9337 |
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+ | 2.3026 | 68.75 | 1100 | 1.9446 | 0.9721 | 0.7403 |
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+ | 2.1178 | 75.0 | 1200 | 1.7418 | 0.9756 | 0.5903 |
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+ | 1.9672 | 81.25 | 1300 | 1.5979 | 0.9477 | 0.5217 |
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+ | 1.891 | 87.5 | 1400 | 1.5311 | 0.9443 | 0.4958 |
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+ | 1.827 | 93.75 | 1500 | 1.4928 | 0.9443 | 0.4714 |
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+ | 1.8131 | 100.0 | 1600 | 1.4927 | 0.9373 | 0.4631 |
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  ### Framework versions
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