Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Curiousfox/whisper_new_ver4
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_12_0
+metrics:
+- wer
+model-index:
+- name: whisper_new_ver5
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_12_0
+      type: common_voice_12_0
+      config: nan-tw
+      split: test
+      args: nan-tw
+    metrics:
+    - name: Wer
+      type: wer
+      value: 86.59217877094973
+---
+
+<!-- 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_new_ver5
+
+This model is a fine-tuned version of [Curiousfox/whisper_new_ver4](https://huggingface.co/Curiousfox/whisper_new_ver4) on the common_voice_12_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7340
+- Wer: 86.5922
+
+## 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-06
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.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_steps: 1000
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.3476        | 0.4073 | 800  | 0.5630          | 86.3890 |
+| 0.2172        | 0.8147 | 1600 | 0.6254          | 85.6780 |
+| 0.1864        | 1.2220 | 2400 | 0.6920          | 86.2875 |
+| 0.1359        | 1.6293 | 3200 | 0.6817          | 84.3575 |
+| 0.123         | 2.0367 | 4000 | 0.7072          | 83.7481 |
+| 0.0894        | 2.4440 | 4800 | 0.7293          | 85.8812 |
+| 0.086         | 2.8513 | 5600 | 0.7340          | 86.5922 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.1
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "pad_token_id": 50257,
+  "transformers_version": "4.51.3"
+}

model.safetensors

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+oid sha256:5df2ea3d50ea45da992ce6593db11a4bdc0334b7efd87a629d16b749060cb39e
 size 3055544304