End of training

README.md

@@ -1,9 +1,83 @@
 ---
-datasets:
-- mozilla-foundation/common_voice_16_0
 language:
 - th
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
 metrics:
 - wer
-pipeline_tag: automatic-speech-recognition
----
+model-index:
+- name: whisper-small-fm
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.0
+      type: mozilla-foundation/common_voice_16_0
+      config: th
+      split: test
+      args: 'config: th, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 241.3265306122449
+---
+
+<!-- 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-fm
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7602
+- Wer: 241.3265
+
+## 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: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0002        | 40.0  | 1000 | 0.6741          | 498.4694 |
+| 0.0001        | 80.0  | 2000 | 0.7207          | 271.4286 |
+| 0.0           | 120.0 | 3000 | 0.7514          | 218.3673 |
+| 0.0           | 160.0 | 4000 | 0.7602          | 241.3265 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

generation_config.json

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+}

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