End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+language:
+- de
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Base German Punctuation 4k - Chee Li
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Google Fleurs
+      type: fleurs
+      config: de_de
+      split: None
+      args: 'config: de split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 42.652697521196735
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Base German Punctuation 4k - Chee Li
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Google Fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6091
+- Wer: 42.6527
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0578        | 4.7619  | 1000 | 0.4862          | 36.8202 |
+| 0.0052        | 9.5238  | 2000 | 0.5652          | 36.5610 |
+| 0.0028        | 14.2857 | 3000 | 0.5972          | 41.4808 |
+| 0.0023        | 19.0476 | 4000 | 0.6091          | 42.6527 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.20.3

generation_config.json

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+    [
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+  "begin_suppress_tokens": [
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+    50257
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+  "bos_token_id": 50257,
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+  "forced_decoder_ids": [
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+    [
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+  ],
+  "is_multilingual": true,
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+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
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+  "transformers_version": "4.46.2"
+}

model.safetensors

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