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EzraWilliam
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wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod17

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): 621b466

End of training

Browse files
Files changed (3) hide show
  1. README.md +19 -19
  2. model.safetensors +1 -1
  3. runs/Apr23_16-11-37_298c4ca318e1/events.out.tfevents.1713888819.298c4ca318e1.1315.0 +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-xls-r-300m
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  datasets:
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  - common_voice_13_0
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  metrics:
@@ -11,8 +11,8 @@ model-index:
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  - name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod17
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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: common_voice_13_0
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  type: common_voice_13_0
@@ -20,9 +20,9 @@ model-index:
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  split: test
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  args: id
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  metrics:
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- - type: wer
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- value: 0.33453171091445427
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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-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3245
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- - Wer: 0.3345
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  ## Model description
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@@ -65,18 +65,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 2.9058 | 1.0 | 278 | 2.8200 | 1.0 |
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- | 1.4695 | 2.0 | 556 | 0.7046 | 0.6722 |
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- | 0.5298 | 3.0 | 834 | 0.4448 | 0.5104 |
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- | 0.3601 | 4.0 | 1112 | 0.3744 | 0.4301 |
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- | 0.2761 | 5.0 | 1390 | 0.3398 | 0.4128 |
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- | 0.2092 | 6.0 | 1668 | 0.3356 | 0.3740 |
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- | 0.1726 | 7.0 | 1946 | 0.3276 | 0.3538 |
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- | 0.1461 | 8.0 | 2224 | 0.3210 | 0.3638 |
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- | 0.1344 | 9.0 | 2502 | 0.3173 | 0.3441 |
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- | 0.1173 | 10.0 | 2780 | 0.3215 | 0.3466 |
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- | 0.1082 | 11.0 | 3058 | 0.3272 | 0.3402 |
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- | 0.0981 | 12.0 | 3336 | 0.3245 | 0.3345 |
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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-xls-r-300m
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  tags:
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  - generated_from_trainer
 
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  datasets:
7
  - common_voice_13_0
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  metrics:
 
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  - name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod17
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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: common_voice_13_0
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  type: common_voice_13_0
 
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  split: test
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  args: id
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  metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.3124539085545723
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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-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3690
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+ - Wer: 0.3125
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2.9121 | 1.0 | 278 | 2.8104 | 1.0 |
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+ | 0.7904 | 2.0 | 556 | 0.5906 | 0.5911 |
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+ | 0.4628 | 3.0 | 834 | 0.4488 | 0.5157 |
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+ | 0.3279 | 4.0 | 1112 | 0.4175 | 0.4261 |
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+ | 0.253 | 5.0 | 1390 | 0.3738 | 0.3929 |
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+ | 0.1969 | 6.0 | 1668 | 0.3810 | 0.3847 |
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+ | 0.1657 | 7.0 | 1946 | 0.3701 | 0.3587 |
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+ | 0.1444 | 8.0 | 2224 | 0.3681 | 0.3457 |
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+ | 0.1305 | 9.0 | 2502 | 0.3632 | 0.3229 |
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+ | 0.1179 | 10.0 | 2780 | 0.3620 | 0.3225 |
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+ | 0.1037 | 11.0 | 3058 | 0.3697 | 0.3136 |
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+ | 0.0988 | 12.0 | 3336 | 0.3690 | 0.3125 |
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  ### Framework versions
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