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rmacek
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ORF-small-de

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Safetensors
German
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End of training

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Files changed (2) hide show
  1. README.md +12 -13
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  args: 'config: de, split: test'
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  metrics:
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  - type: wer
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- value: 29.46806728721495
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  name: Wer
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  ---
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@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ZIB2 Common Voice dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7149
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- - Wer: 29.4681
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  ## Model description
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@@ -58,8 +58,7 @@ The following hyperparameters were used during training:
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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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- - lr_scheduler_warmup_steps: 500
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  - training_steps: 8000
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  - mixed_precision_training: Native AMP
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@@ -67,14 +66,14 @@ 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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- | 0.5717 | 1.7153 | 1000 | 0.6098 | 35.2851 |
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- | 0.41 | 3.4305 | 2000 | 0.6053 | 32.7056 |
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- | 0.386 | 5.1458 | 3000 | 0.6148 | 26.9699 |
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- | 0.3123 | 6.8611 | 4000 | 0.6345 | 26.4842 |
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- | 0.2183 | 8.5763 | 5000 | 0.6622 | 28.1329 |
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- | 0.2231 | 10.2916 | 6000 | 0.6901 | 28.5253 |
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- | 0.2259 | 12.0069 | 7000 | 0.7028 | 27.4413 |
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- | 0.1708 | 13.7221 | 8000 | 0.7149 | 29.4681 |
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  ### Framework versions
 
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  args: 'config: de, split: test'
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  metrics:
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  - type: wer
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+ value: 27.268895060503866
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  name: Wer
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  ---
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ZIB2 Common Voice dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7038
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+ - Wer: 27.2689
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  ## Model description
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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: cosine
 
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  - training_steps: 8000
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:-------:|
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+ | 0.4896 | 1.7153 | 1000 | 0.6019 | 26.6961 |
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+ | 0.3559 | 3.4305 | 2000 | 0.6038 | 26.6192 |
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+ | 0.259 | 5.1458 | 3000 | 0.6216 | 33.8450 |
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+ | 0.3272 | 6.8611 | 4000 | 0.6382 | 27.0730 |
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+ | 0.2413 | 8.5763 | 5000 | 0.6704 | 31.3207 |
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+ | 0.1691 | 10.2916 | 6000 | 0.6922 | 27.2466 |
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+ | 0.1702 | 12.0069 | 7000 | 0.7008 | 27.3284 |
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+ | 0.1726 | 13.7221 | 8000 | 0.7038 | 27.2689 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 14176064
 
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  version https://git-lfs.github.com/spec/v1
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