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femursmith
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final-asr-ashanti-twi

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
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End of training

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Files changed (3) hide show
  1. README.md +6 -9
  2. model.safetensors +1 -1
  3. runs/Dec03_06-48-57_4b7a433b7ae9/events.out.tfevents.1733208556.4b7a433b7ae9.2994.1 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.8369147251752997
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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 [femursmith/intermediate-asr-ashanti-twi](https://huggingface.co/femursmith/intermediate-asr-ashanti-twi) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0086
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- - Wer: 0.8369
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  ## Model description
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  ### Training hyperparameters
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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: 8
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 4000
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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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- | 0.0315 | 0.6707 | 1000 | 0.0207 | 1.9603 |
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- | 0.0044 | 1.3414 | 2000 | 0.0113 | 1.0857 |
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- | 0.0086 | 2.0121 | 3000 | 0.0090 | 1.0028 |
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- | 0.001 | 2.6828 | 4000 | 0.0086 | 0.8369 |
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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: 1.2365226570157581
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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 [femursmith/intermediate-asr-ashanti-twi](https://huggingface.co/femursmith/intermediate-asr-ashanti-twi) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0085
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+ - Wer: 1.2365
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 1500
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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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+ | 0.0035 | 0.6707 | 1000 | 0.0085 | 1.2365 |
 
 
 
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  ### Framework versions
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