End of training

README.md

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+---
+license: apache-2.0
+base_model: NbAiLab/nb-whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- samromur_asr
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-no-is-5k-steps
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: samromur_asr
+      type: samromur_asr
+      config: samromur_asr
+      split: test
+      args: samromur_asr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 51.60346372051359
+---
+
+<!-- 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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/setur/huggingface/runs/blydklsj)
+# whisper-tiny-no-is-5k-steps
+
+This model is a fine-tuned version of [NbAiLab/nb-whisper-tiny](https://huggingface.co/NbAiLab/nb-whisper-tiny) on the samromur_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7830
+- Wer: 51.6035
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.2696        | 0.1778 | 1000 | 1.3551          | 69.4512 |
+| 0.9101        | 0.3556 | 2000 | 0.9833          | 60.0096 |
+| 0.7626        | 0.5333 | 3000 | 0.8596          | 54.7590 |
+| 0.7316        | 0.7111 | 4000 | 0.8014          | 52.3165 |
+| 0.7269        | 0.8889 | 5000 | 0.7830          | 51.6035 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "is_multilingual": true,
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+  "task": "transcribe",
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+  "transformers_version": "4.42.3"
+}