End of training

README.md

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+---
+library_name: transformers
+language:
+- multilingual
+license: apache-2.0
+base_model: openai/whisper-tiny.en
+tags:
+- generated_from_trainer
+datasets:
+- edutjie/bisix_su_id
+metrics:
+- wer
+model-index:
+- name: 'BisiX: Sundanese Whisper'
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: SU ID ASR
+      type: edutjie/bisix_su_id
+      config: su_id_asr_source
+      split: validation
+      args: su_id_asr_source
+    metrics:
+    - name: Wer
+      type: wer
+      value: 33.87865168539326
+---
+
+<!-- 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. -->
+
+# BisiX: Sundanese Whisper
+
+This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the SU ID ASR dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0180
+- Wer: 33.8787
+- Cer: 11.6897
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 30
+- training_steps: 150
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
+| 4.3455        | 0.1765 | 30   | 2.4772          | 85.1326 | 33.9863 |
+| 1.7093        | 0.3529 | 60   | 1.3486          | 41.4562 | 15.2167 |
+| 1.2183        | 0.5294 | 90   | 1.1469          | 36.2247 | 12.5208 |
+| 1.0676        | 0.7059 | 120  | 1.0517          | 34.6427 | 11.9084 |
+| 0.9974        | 0.8824 | 150  | 1.0180          | 33.8787 | 11.6897 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

generation_config.json

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+  "begin_suppress_tokens": [
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
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+  ],
+  "is_multilingual": false,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "prev_sot_token_id": 50360,
+  "return_timestamps": false,
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+  "transformers_version": "4.44.2"
+}