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EzraWilliam
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wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
EzraWilliam commited on
Commit
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1 Parent(s): b679416

End of training

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Files changed (3) hide show
  1. README.md +31 -21
  2. model.safetensors +1 -1
  3. runs/Mar27_06-52-32_632235f47188/events.out.tfevents.1711522385.632235f47188.246.0 +2 -2
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: facebook/wav2vec2-large-xlsr-53
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  datasets:
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  - xtreme_s
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  metrics:
@@ -11,8 +11,8 @@ model-index:
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  - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9
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  results:
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  - task:
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- type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  dataset:
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  name: xtreme_s
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  type: xtreme_s
@@ -20,9 +20,9 @@ model-index:
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  split: test
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  args: fleurs.id_id
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  metrics:
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- - type: wer
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- value: 1.0
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- name: Wer
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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
@@ -32,8 +32,8 @@ 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 xtreme_s dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8522
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- - Wer: 1.0
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  ## Model description
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@@ -53,28 +53,38 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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- - train_batch_size: 32
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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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- - num_epochs: 10
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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 | 1.0 | 20 | 2.9101 | 1.0 |
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- | No log | 2.0 | 40 | 2.8625 | 1.0 |
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- | No log | 3.0 | 60 | 2.8728 | 1.0 |
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- | No log | 4.0 | 80 | 2.8608 | 1.0 |
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- | No log | 5.0 | 100 | 2.8697 | 1.0 |
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- | No log | 6.0 | 120 | 2.8550 | 1.0 |
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- | No log | 7.0 | 140 | 2.8668 | 1.0 |
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- | No log | 8.0 | 160 | 2.8452 | 1.0 |
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- | No log | 9.0 | 180 | 2.8746 | 1.0 |
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- | No log | 10.0 | 200 | 2.8522 | 1.0 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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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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  datasets:
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  - xtreme_s
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  metrics:
 
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  - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9
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  results:
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  - task:
 
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  name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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  dataset:
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  name: xtreme_s
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  type: xtreme_s
 
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  split: test
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  args: fleurs.id_id
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  metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.9842089507558749
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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
 
32
 
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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 xtreme_s dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3012
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+ - Wer: 0.9842
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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+ - train_batch_size: 16
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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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+ - num_epochs: 20
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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 | 1.0 | 39 | 2.8812 | 1.0 |
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+ | No log | 2.0 | 78 | 2.8688 | 1.0 |
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+ | No log | 3.0 | 117 | 2.8722 | 1.0 |
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+ | No log | 4.0 | 156 | 2.8640 | 1.0 |
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+ | No log | 5.0 | 195 | 2.8447 | 1.0 |
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+ | No log | 6.0 | 234 | 2.8468 | 1.0 |
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+ | No log | 7.0 | 273 | 2.8465 | 1.0 |
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+ | No log | 8.0 | 312 | 2.8488 | 1.0 |
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+ | No log | 9.0 | 351 | 2.8355 | 1.0 |
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+ | No log | 10.0 | 390 | 2.8167 | 1.0 |
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+ | No log | 11.0 | 429 | 2.8076 | 1.0 |
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+ | No log | 12.0 | 468 | 2.7065 | 1.0 |
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+ | 2.9881 | 13.0 | 507 | 2.5506 | 1.0 |
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+ | 2.9881 | 14.0 | 546 | 2.2657 | 1.0 |
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+ | 2.9881 | 15.0 | 585 | 1.9921 | 1.0 |
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+ | 2.9881 | 16.0 | 624 | 1.7390 | 1.0 |
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+ | 2.9881 | 17.0 | 663 | 1.5309 | 1.0 |
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+ | 2.9881 | 18.0 | 702 | 1.4300 | 0.9994 |
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+ | 2.9881 | 19.0 | 741 | 1.3280 | 0.9938 |
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+ | 2.9881 | 20.0 | 780 | 1.3012 | 0.9842 |
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  ### Framework versions
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