End of training

README.md

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+---
+library_name: transformers
+language:
+- my
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+datasets:
+- chuuhtetnaing/myanmar-speech-dataset-openslr-80
+metrics:
+- wer
+model-index:
+- name: Whisper Large V3 Turbo Burmese Finetune
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Myanmar Speech Dataset (OpenSLR-80)
+      type: chuuhtetnaing/myanmar-speech-dataset-openslr-80
+      args: 'config: my, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 47.10596616206589
+---
+
+<!-- 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 Large V3 Turbo Burmese Finetune
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Myanmar Speech Dataset (OpenSLR-80) dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1727
+- Wer: 47.1060
+- Cer: 15.6324
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.8922        | 1.0   | 143  | 0.4413          | 95.9484 | 48.4730 |
+| 0.2576        | 2.0   | 286  | 0.1971          | 83.8379 | 26.9627 |
+| 0.1481        | 3.0   | 429  | 0.1505          | 66.4292 | 22.9769 |
+| 0.0996        | 4.0   | 572  | 0.1315          | 62.0214 | 20.5786 |
+| 0.0697        | 5.0   | 715  | 0.1344          | 60.8638 | 20.5786 |
+| 0.0507        | 6.0   | 858  | 0.1249          | 57.3464 | 19.3075 |
+| 0.038         | 7.0   | 1001 | 0.1273          | 55.2538 | 18.4391 |
+| 0.0279        | 8.0   | 1144 | 0.1257          | 54.4524 | 18.4908 |
+| 0.02          | 9.0   | 1287 | 0.1374          | 53.3838 | 17.9559 |
+| 0.0147        | 10.0  | 1430 | 0.1422          | 53.3393 | 17.9847 |
+| 0.0101        | 11.0  | 1573 | 0.1530          | 53.8736 | 17.9674 |
+| 0.0066        | 12.0  | 1716 | 0.1512          | 50.8905 | 16.8344 |
+| 0.0043        | 13.0  | 1859 | 0.1526          | 49.5993 | 16.2708 |
+| 0.0026        | 14.0  | 2002 | 0.1594          | 49.9110 | 16.4261 |
+| 0.0017        | 15.0  | 2145 | 0.1612          | 49.0205 | 16.2248 |
+| 0.0008        | 16.0  | 2288 | 0.1646          | 48.7088 | 15.9027 |
+| 0.0003        | 17.0  | 2431 | 0.1676          | 47.8629 | 15.9429 |
+| 0.0001        | 18.0  | 2574 | 0.1707          | 47.5512 | 15.6209 |
+| 0.0001        | 19.0  | 2717 | 0.1721          | 47.3731 | 15.6439 |
+| 0.0           | 20.0  | 2860 | 0.1727          | 47.1060 | 15.6324 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "openai/whisper-large-v3-turbo",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 4,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50257,
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}

generation_config.json

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+}

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preprocessor_config.json

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+  "feature_extractor_type": "WhisperFeatureExtractor",
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+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

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