Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: eu
+      split: test
+      args: eu
+    metrics:
+    - name: Wer
+      type: wer
+      value: 12.234193365466401
+---
+
+<!-- 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. -->
+
+# openai/whisper-large
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4369
+- Wer: 12.2342
+
+## 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: 500
+- training_steps: 20000
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.0196        | 4.01  | 1000  | 0.2825          | 15.4725 |
+| 0.0039        | 9.01  | 2000  | 0.3072          | 14.2270 |
+| 0.0031        | 14.01 | 3000  | 0.3170          | 13.7652 |
+| 0.0023        | 19.0  | 4000  | 0.3310          | 13.6640 |
+| 0.0014        | 24.0  | 5000  | 0.3384          | 13.5749 |
+| 0.0034        | 29.0  | 6000  | 0.3425          | 13.7450 |
+| 0.0011        | 33.01 | 7000  | 0.3476          | 13.0990 |
+| 0.001         | 38.01 | 8000  | 0.3432          | 13.0990 |
+| 0.0004        | 43.01 | 9000  | 0.3524          | 12.8033 |
+| 0.0017        | 48.01 | 10000 | 0.3620          | 13.3946 |
+| 0.0003        | 53.0  | 11000 | 0.3564          | 12.6190 |
+| 0.0001        | 58.0  | 12000 | 0.3675          | 12.6352 |
+| 0.0           | 63.0  | 13000 | 0.3878          | 12.4286 |
+| 0.0           | 67.01 | 14000 | 0.3996          | 12.3577 |
+| 0.0           | 72.01 | 15000 | 0.4088          | 12.3456 |
+| 0.0           | 77.01 | 16000 | 0.4167          | 12.3091 |
+| 0.0           | 82.01 | 17000 | 0.4241          | 12.3112 |
+| 0.0           | 87.0  | 18000 | 0.4302          | 12.3193 |
+| 0.0           | 92.0  | 19000 | 0.4351          | 12.2565 |
+| 0.0           | 97.0  | 20000 | 0.4369          | 12.2342 |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      9,
+      19
+    ],
+    [
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+      2
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+    [
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+    [
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+      17
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+    [
+      22,
+      7
+    ],
+    [
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+      11
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+    [
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+      17
+    ],
+    [
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+      2
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+    [
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+      15
+    ]
+  ],
+  "begin_suppress_tokens": [
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+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
+    ],
+    [
+      2,
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+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
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+    "<|am|>": 50334,
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+    "<|vi|>": 50278,
+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "max_initial_timestamp_index": 1,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "return_timestamps": false,
+  "suppress_tokens": [
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+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.33.0.dev0"
+}