End of training

README.md

@@ -0,0 +1,120 @@
+---
+language:
+- ko
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- arrow
+metrics:
+- wer
+model-index:
+- name: whisper-kor_noising_3
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: whisper-kor_noising_3
+      type: arrow
+      config: default
+      split: train
+      args: 'config: ko, split: valid'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 19.58714884370635
+---
+
+<!-- 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-kor_noising_3
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor_noising_3 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2748
+- Wer: 19.5871
+- Cer: 8.9142
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.2751        | 0.05  | 100  | 0.3078          | 20.8754 | 10.0300 |
+| 0.3055        | 0.09  | 200  | 0.2981          | 20.7046 | 9.6834  |
+| 0.2684        | 0.14  | 300  | 0.2974          | 21.1703 | 9.7215  |
+| 0.267         | 0.18  | 400  | 0.3019          | 21.7600 | 10.4611 |
+| 0.2927        | 0.23  | 500  | 0.3014          | 20.7357 | 9.5862  |
+| 0.287         | 0.28  | 600  | 0.3057          | 21.5117 | 9.9370  |
+| 0.2913        | 0.32  | 700  | 0.3098          | 22.8620 | 10.9218 |
+| 0.3201        | 0.37  | 800  | 0.3044          | 22.7534 | 10.9683 |
+| 0.2929        | 0.42  | 900  | 0.2994          | 21.1237 | 9.7553  |
+| 0.2661        | 0.46  | 1000 | 0.3023          | 22.3809 | 10.6218 |
+| 0.2865        | 0.51  | 1100 | 0.3013          | 24.5538 | 11.4755 |
+| 0.2668        | 0.55  | 1200 | 0.3011          | 23.4052 | 11.0951 |
+| 0.2888        | 0.6   | 1300 | 0.2956          | 24.4296 | 13.4494 |
+| 0.245         | 0.65  | 1400 | 0.3015          | 21.2323 | 9.8821  |
+| 0.2718        | 0.69  | 1500 | 0.3009          | 21.4807 | 9.7468  |
+| 0.2757        | 0.74  | 1600 | 0.2950          | 20.7357 | 9.5862  |
+| 0.2943        | 0.78  | 1700 | 0.2965          | 21.1237 | 9.7510  |
+| 0.2637        | 0.83  | 1800 | 0.2934          | 21.9618 | 10.5372 |
+| 0.2593        | 0.88  | 1900 | 0.2911          | 21.9929 | 10.4231 |
+| 0.2742        | 0.92  | 2000 | 0.2888          | 22.2257 | 11.2642 |
+| 0.2682        | 0.97  | 2100 | 0.2866          | 20.9530 | 9.7806  |
+| 0.172         | 1.02  | 2200 | 0.2858          | 19.8044 | 9.1044  |
+| 0.165         | 1.06  | 2300 | 0.2875          | 19.6027 | 9.0452  |
+| 0.1634        | 1.11  | 2400 | 0.2868          | 19.5871 | 9.0621  |
+| 0.1928        | 1.15  | 2500 | 0.2853          | 22.0705 | 11.0233 |
+| 0.1876        | 1.2   | 2600 | 0.2832          | 21.7911 | 10.8035 |
+| 0.1795        | 1.25  | 2700 | 0.2826          | 19.7113 | 9.1255  |
+| 0.1844        | 1.29  | 2800 | 0.2821          | 19.6803 | 9.0494  |
+| 0.1532        | 1.34  | 2900 | 0.2797          | 19.7579 | 9.0790  |
+| 0.1529        | 1.39  | 3000 | 0.2783          | 20.0683 | 9.0748  |
+| 0.1334        | 1.43  | 3100 | 0.2795          | 19.7579 | 9.0579  |
+| 0.1538        | 1.48  | 3200 | 0.2787          | 20.7667 | 10.0850 |
+| 0.1537        | 1.52  | 3300 | 0.2785          | 19.5406 | 8.7704  |
+| 0.1694        | 1.57  | 3400 | 0.2780          | 19.6492 | 8.8085  |
+| 0.1811        | 1.62  | 3500 | 0.2766          | 19.5406 | 8.9015  |
+| 0.163         | 1.66  | 3600 | 0.2772          | 21.2634 | 10.2033 |
+| 0.1445        | 1.71  | 3700 | 0.2763          | 19.3854 | 8.8169  |
+| 0.1548        | 1.75  | 3800 | 0.2750          | 19.4009 | 8.7958  |
+| 0.1588        | 1.8   | 3900 | 0.2749          | 19.3854 | 8.8127  |
+| 0.1575        | 1.85  | 4000 | 0.2748          | 19.5871 | 8.9142  |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

@@ -0,0 +1,267 @@
+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
+    ],
+    [
+      8,
+      0
+    ],
+    [
+      8,
+      4
+    ],
+    [
+      8,
+      7
+    ],
+    [
+      8,
+      8
+    ],
+    [
+      9,
+      0
+    ],
+    [
+      9,
+      7
+    ],
+    [
+      9,
+      9
+    ],
+    [
+      10,
+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      50264
+    ],
+    [
+      2,
+      50359
+    ],
+    [
+      3,
+      50363
+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
+    "<|ba|>": 50355,
+    "<|be|>": 50330,
+    "<|bg|>": 50292,
+    "<|bn|>": 50302,
+    "<|bo|>": 50347,
+    "<|br|>": 50309,
+    "<|bs|>": 50315,
+    "<|ca|>": 50270,
+    "<|cs|>": 50283,
+    "<|cy|>": 50297,
+    "<|da|>": 50285,
+    "<|de|>": 50261,
+    "<|el|>": 50281,
+    "<|en|>": 50259,
+    "<|es|>": 50262,
+    "<|et|>": 50307,
+    "<|eu|>": 50310,
+    "<|fa|>": 50300,
+    "<|fi|>": 50277,
+    "<|fo|>": 50338,
+    "<|fr|>": 50265,
+    "<|gl|>": 50319,
+    "<|gu|>": 50333,
+    "<|haw|>": 50352,
+    "<|ha|>": 50354,
+    "<|he|>": 50279,
+    "<|hi|>": 50276,
+    "<|hr|>": 50291,
+    "<|ht|>": 50339,
+    "<|hu|>": 50286,
+    "<|hy|>": 50312,
+    "<|id|>": 50275,
+    "<|is|>": 50311,
+    "<|it|>": 50274,
+    "<|ja|>": 50266,
+    "<|jw|>": 50356,
+    "<|ka|>": 50329,
+    "<|kk|>": 50316,
+    "<|km|>": 50323,
+    "<|kn|>": 50306,
+    "<|ko|>": 50264,
+    "<|la|>": 50294,
+    "<|lb|>": 50345,
+    "<|ln|>": 50353,
+    "<|lo|>": 50336,
+    "<|lt|>": 50293,
+    "<|lv|>": 50301,
+    "<|mg|>": 50349,
+    "<|mi|>": 50295,
+    "<|mk|>": 50308,
+    "<|ml|>": 50296,
+    "<|mn|>": 50314,
+    "<|mr|>": 50320,
+    "<|ms|>": 50282,
+    "<|mt|>": 50343,
+    "<|my|>": 50346,
+    "<|ne|>": 50313,
+    "<|nl|>": 50271,
+    "<|nn|>": 50342,
+    "<|no|>": 50288,
+    "<|oc|>": 50328,
+    "<|pa|>": 50321,
+    "<|pl|>": 50269,
+    "<|ps|>": 50340,
+    "<|pt|>": 50267,
+    "<|ro|>": 50284,
+    "<|ru|>": 50263,
+    "<|sa|>": 50344,
+    "<|sd|>": 50332,
+    "<|si|>": 50322,
+    "<|sk|>": 50298,
+    "<|sl|>": 50305,
+    "<|sn|>": 50324,
+    "<|so|>": 50326,
+    "<|sq|>": 50317,
+    "<|sr|>": 50303,
+    "<|su|>": 50357,
+    "<|sv|>": 50273,
+    "<|sw|>": 50318,
+    "<|ta|>": 50287,
+    "<|te|>": 50299,
+    "<|tg|>": 50331,
+    "<|th|>": 50289,
+    "<|tk|>": 50341,
+    "<|tl|>": 50348,
+    "<|tr|>": 50268,
+    "<|tt|>": 50351,
+    "<|uk|>": 50280,
+    "<|ur|>": 50290,
+    "<|uz|>": 50337,
+    "<|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": [
+    1,
+    2,
+    7,
+    8,
+    9,
+    10,
+    14,
+    25,
+    26,
+    27,
+    28,
+    29,
+    31,
+    58,
+    59,
+    60,
+    61,
+    62,
+    63,
+    90,
+    91,
+    92,
+    93,
+    359,
+    503,
+    522,
+    542,
+    873,
+    893,
+    902,
+    918,
+    922,
+    931,
+    1350,
+    1853,
+    1982,
+    2460,
+    2627,
+    3246,
+    3253,
+    3268,
+    3536,
+    3846,
+    3961,
+    4183,
+    4667,
+    6585,
+    6647,
+    7273,
+    9061,
+    9383,
+    10428,
+    10929,
+    11938,
+    12033,
+    12331,
+    12562,
+    13793,
+    14157,
+    14635,
+    15265,
+    15618,
+    16553,
+    16604,
+    18362,
+    18956,
+    20075,
+    21675,
+    22520,
+    26130,
+    26161,
+    26435,
+    28279,
+    29464,
+    31650,
+    32302,
+    32470,
+    36865,
+    42863,
+    47425,
+    49870,
+    50254,
+    50258,
+    50358,
+    50359,
+    50360,
+    50361,
+    50362
+  ],
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.35.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa9eabcb3a456d83235c353f4f1f64f47cfabb09ef49558cb6e6bb11ac102ac2
+oid sha256:ecf59b7c52a9fa41eee0108d95ff2a6e2f2c512b1ea06f6c9f2c57b6b90bc08e
 size 966995080