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adrianSauer
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wav2vec2-wer

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Guaraní
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
adrianSauer commited on
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1 Parent(s): 6aa01a5

End of training

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  1. README.md +15 -13
README.md CHANGED
@@ -19,12 +19,12 @@ model-index:
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  name: Common Voice 16
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  type: mozilla-foundation/common_voice_16_1
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  config: gn
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- split: test
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  args: gn
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  metrics:
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  - name: Wer
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  type: wer
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- value: 43.723554301833566
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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
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [glob-asr/wav2vec2-large-xls-r-300m-guarani-small](https://huggingface.co/glob-asr/wav2vec2-large-xls-r-300m-guarani-small) on the Common Voice 16 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3202
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- - Wer: 43.7236
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  ## Model description
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@@ -55,9 +55,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 16
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  - eval_batch_size: 16
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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: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
@@ -68,16 +70,16 @@ 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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- | 0.4174 | 1.0101 | 100 | 0.3535 | 47.6728 |
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- | 0.3411 | 2.0202 | 200 | 0.3387 | 46.3188 |
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- | 0.2905 | 3.0303 | 300 | 0.3278 | 45.7546 |
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- | 0.2591 | 4.0404 | 400 | 0.3214 | 44.6544 |
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- | 0.251 | 5.0505 | 500 | 0.3202 | 43.7236 |
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  ### Framework versions
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- - Transformers 4.40.1
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- - Pytorch 2.2.1+cu121
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- - Datasets 2.19.0
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  - Tokenizers 0.19.1
 
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  name: Common Voice 16
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  type: mozilla-foundation/common_voice_16_1
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  config: gn
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+ split: None
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  args: gn
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 49.766822118587605
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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 [glob-asr/wav2vec2-large-xls-r-300m-guarani-small](https://huggingface.co/glob-asr/wav2vec2-large-xls-r-300m-guarani-small) on the Common Voice 16 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3513
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+ - Wer: 49.7668
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 16
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.4171 | 1.0152 | 100 | 0.3798 | 55.2965 |
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+ | 0.3376 | 2.0305 | 200 | 0.3628 | 53.8974 |
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+ | 0.294 | 3.0457 | 300 | 0.3528 | 52.4983 |
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+ | 0.2632 | 4.0609 | 400 | 0.3484 | 49.7668 |
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+ | 0.2459 | 5.0761 | 500 | 0.3513 | 49.7668 |
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  ### Framework versions
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+ - Transformers 4.44.0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.21.0
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  - Tokenizers 0.19.1