End of training

README.md

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+---
+license: apache-2.0
+base_model: NbAiLab/nb-whisper-large
+tags:
+- generated_from_trainer
+datasets:
+- samromur_asr
+metrics:
+- wer
+model-index:
+- name: whisper-large-no-is-145h-30k-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: 8.020304568527918
+---
+
+<!-- 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/a8dup09b)
+# whisper-large-no-is-145h-30k-steps
+
+This model is a fine-tuned version of [NbAiLab/nb-whisper-large](https://huggingface.co/NbAiLab/nb-whisper-large) on the samromur_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1280
+- Wer: 8.0203
+
+## 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: 30000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.3237        | 0.1778 | 1000  | 0.3331          | 24.9280 |
+| 0.2334        | 0.3556 | 2000  | 0.2369          | 19.2033 |
+| 0.1932        | 0.5333 | 3000  | 0.2121          | 16.7584 |
+| 0.1681        | 0.7111 | 4000  | 0.1874          | 14.9669 |
+| 0.1487        | 0.8889 | 5000  | 0.1720          | 13.8274 |
+| 0.0911        | 1.0667 | 6000  | 0.1644          | 13.2541 |
+| 0.0765        | 1.2444 | 7000  | 0.1577          | 12.3332 |
+| 0.0843        | 1.4222 | 8000  | 0.1469          | 11.8722 |
+| 0.0797        | 1.6    | 9000  | 0.1437          | 11.3156 |
+| 0.0778        | 1.7778 | 10000 | 0.1365          | 10.9298 |
+| 0.0789        | 1.9556 | 11000 | 0.1329          | 10.7554 |
+| 0.039         | 2.1333 | 12000 | 0.1353          | 10.3625 |
+| 0.0394        | 2.3111 | 13000 | 0.1399          | 10.2872 |
+| 0.0438        | 2.4889 | 14000 | 0.1357          | 10.0926 |
+| 0.0365        | 2.6667 | 15000 | 0.1287          | 9.8632  |
+| 0.0406        | 2.8444 | 16000 | 0.1266          | 9.6435  |
+| 0.0193        | 3.0222 | 17000 | 0.1284          | 9.3258  |
+| 0.0181        | 3.2    | 18000 | 0.1309          | 9.3019  |
+| 0.0215        | 3.3778 | 19000 | 0.1317          | 9.1299  |
+| 0.0207        | 3.5556 | 20000 | 0.1287          | 8.8767  |
+| 0.0185        | 3.7333 | 21000 | 0.1285          | 8.8731  |
+| 0.0162        | 3.9111 | 22000 | 0.1272          | 8.6581  |
+| 0.007         | 4.0889 | 23000 | 0.1285          | 8.6175  |
+| 0.0076        | 4.2667 | 24000 | 0.1296          | 8.3655  |
+| 0.0074        | 4.4444 | 25000 | 0.1277          | 8.4037  |
+| 0.0076        | 4.6222 | 26000 | 0.1289          | 8.3464  |
+| 0.006         | 4.8    | 27000 | 0.1257          | 8.1756  |
+| 0.0067        | 4.9778 | 28000 | 0.1252          | 8.0979  |
+| 0.0025        | 5.1556 | 29000 | 0.1269          | 8.0322  |
+| 0.0032        | 5.3333 | 30000 | 0.1280          | 8.0203  |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+  "transformers_version": "4.42.4"
+}

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