Initial CT2 export (reorganized from base repo; copied card & assets)

README.md

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+---
+library_name: ctranslate2
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- audio
+- automatic-speech-recognition
+- ctranslate2
+- faster-whisper
+- generated_from_trainer
+- whisper
+metrics:
+- wer
+model-index:
+- name: whisper-small-jp
+  results: []
+---
+
+> **This repository contains the CTranslate2 export of the fine-tuned model.**
+>
+> • Base Transformers model: [drepic/whisper-small-jp](https://huggingface.co/drepic/whisper-small-jp)  
+> • Use with `faster-whisper`:
+>
+> ```python
+> from faster_whisper import WhisperModel
+> model = WhisperModel("drepic/whisper-small-jp-ct2", device="cuda", compute_type="float16")
+> ```
+
+<!-- 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-jp
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6168
+- Wer: 0.2600
+- Cer: 0.2600
+
+## 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: 5e-06
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 300
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
+| 0.6589        | 1.0   | 7154  | 0.6615          | 0.2735 | 0.2735 |
+| 0.6273        | 2.0   | 14308 | 0.6457          | 0.2699 | 0.2699 |
+| 0.6251        | 3.0   | 21462 | 0.6359          | 0.2660 | 0.2660 |
+| 0.6427        | 4.0   | 28616 | 0.6283          | 0.2642 | 0.2642 |
+| 0.6389        | 5.0   | 35770 | 0.6243          | 0.2631 | 0.2631 |
+| 0.6078        | 6.0   | 42924 | 0.6242          | 0.2615 | 0.2615 |
+| 0.5788        | 7.0   | 50078 | 0.6195          | 0.2603 | 0.2603 |
+| 0.5801        | 8.0   | 57232 | 0.6180          | 0.2596 | 0.2596 |
+| 0.5866        | 9.0   | 64386 | 0.6145          | 0.2598 | 0.2598 |
+| 0.6052        | 10.0  | 71540 | 0.6168          | 0.2600 | 0.2600 |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.0

config.json

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+}

model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:90e6f2bfa6c65dff16d77cad085f3bef96f7fe869ca26bdf86329cbc8e5d6e7a
+size 483546977

preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "dither": 0.0,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 80,
+  "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
+}