Whisper-small-thai-500

README.md

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+---
+license: apache-2.0
+base_model: biodatlab/whisper-th-small-combined
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper-small-thai
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: th
+      split: test
+      args: th
+    metrics:
+    - name: Wer
+      type: wer
+      value: 55.432891743610334
+---
+
+<!-- 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-thai
+
+This model is a fine-tuned version of [biodatlab/whisper-th-small-combined](https://huggingface.co/biodatlab/whisper-th-small-combined) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1073
+- Wer: 55.4329
+
+## 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     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.3415        | 0.3647 | 1000 | 0.1371          | 65.4958 |
+| 0.1638        | 0.7294 | 2000 | 0.1253          | 60.3238 |
+| 0.1995        | 1.0941 | 3000 | 0.1161          | 57.4736 |
+| 0.213         | 1.4588 | 4000 | 0.1104          | 56.2358 |
+| 0.2041        | 1.8235 | 5000 | 0.1073          | 55.4329 |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+      3
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+    [
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+    [
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+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "Thai",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
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+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
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+  "transformers_version": "4.43.3"
+}