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wav2vec2-mms-1b-l1107-mus-asr-10m

Automatic Speech Recognition
Transformers
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Safetensors
wav2vec2
Generated from Trainer
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jmainz commited on
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1 Parent(s): ceeda07

End of training

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Files changed (8) hide show
  1. README.md +7 -6
  2. adapter.mus.safetensors +1 -1
  3. model.safetensors +1 -1
  4. runs/May20_01-27-59_patas-gn3/events.out.tfevents.1716193907.patas-gn3.738442.1 +3 -0
  5. runs/May20_02-31-10_patas-gn2/events.out.tfevents.1716197480.patas-gn2.1341188.0 +3 -0
  6. runs/May20_03-07-07_patas-gn2/events.out.tfevents.1716199637.patas-gn2.1343358.0 +3 -0
  7. runs/May20_03-34-02_patas-gn2/events.out.tfevents.1716201252.patas-gn2.1345008.0 +3 -0
  8. training_args.bin +2 -2
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4292
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- - Wer: 0.7031
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- - Cer: 0.1778
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  ## Model description
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@@ -44,15 +44,16 @@ The following hyperparameters were used during training:
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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: 100
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- - num_epochs: 4
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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 | Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | 6.5188 | 3.7037 | 100 | 2.4292 | 0.7031 | 0.1778 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1048
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+ - Wer: 0.5156
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+ - Cer: 0.1267
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  ## Model description
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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_ratio: 0.4
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+ - num_epochs: 8
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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 | Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | 6.1504 | 3.2222 | 87 | 2.3410 | 0.6562 | 0.1556 |
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+ | 0.6961 | 6.4444 | 174 | 2.1048 | 0.5156 | 0.1267 |
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  ### Framework versions
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