End of training

README.md

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+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_Albanian
+metrics:
+- wer
+model-index:
+- name: Whisper Small sq Test
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16 Albanian
+      type: mozilla-foundation/common_voice_11_Albanian
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 34.05295315682281
+---
+
+<!-- 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 Small sq Test
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16 Albanian dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7073
+- Wer: 34.0530
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1135        | 4.63  | 500  | 0.6519          | 44.8880 |
+| 0.02          | 9.26  | 1000 | 0.6575          | 39.3483 |
+| 0.0075        | 13.89 | 1500 | 0.6073          | 35.6823 |
+| 0.0016        | 18.52 | 2000 | 0.6347          | 34.9084 |
+| 0.0008        | 23.15 | 2500 | 0.6484          | 34.9491 |
+| 0.0001        | 27.78 | 3000 | 0.6765          | 34.4196 |
+| 0.0001        | 32.41 | 3500 | 0.6897          | 33.9308 |
+| 0.0001        | 37.04 | 4000 | 0.6988          | 34.1752 |
+| 0.0001        | 41.67 | 4500 | 0.7048          | 33.9715 |
+| 0.0001        | 46.3  | 5000 | 0.7073          | 34.0530 |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+}

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