End of training

README.md

@@ -0,0 +1,87 @@
+---
+library_name: transformers
+language:
+- da
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- alexandrainst/ftspeech
+metrics:
+- wer
+model-index:
+- name: Whisper tiny FTSpeech - Julie
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: ftspeech
+      type: alexandrainst/ftspeech
+      args: 'split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 97.17612214675995
+---
+
+<!-- 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 tiny FTSpeech - Julie
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the ftspeech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6006
+- Wer: 97.1761
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.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: 200
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.9429        | 0.0080 | 500  | 0.9411          | 87.9967 |
+| 0.7782        | 0.0161 | 1000 | 0.7891          | 91.5049 |
+| 0.7176        | 0.0241 | 1500 | 0.7164          | 89.9351 |
+| 0.6545        | 0.0321 | 2000 | 0.6686          | 85.8745 |
+| 0.6171        | 0.0402 | 2500 | 0.6395          | 91.9062 |
+| 0.5767        | 0.0482 | 3000 | 0.6176          | 94.2052 |
+| 0.546         | 0.0562 | 3500 | 0.6006          | 97.1761 |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.21.0

generation_config.json

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+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.47.0"
+}

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