Model save

README.md

@@ -0,0 +1,111 @@
+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+model-index:
+- name: gwanju2_mparameters1e-5__model
+  results: []
+---
+
+<!-- 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. -->
+
+# gwanju2_mparameters1e-5__model
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8405
+- Cer: 19.4108
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 250
+- training_steps: 50000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Cer      |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|
+| 0.43          | 0.6046  | 1000  | 0.4009          | 166.0129 |
+| 0.2587        | 1.2092  | 2000  | 0.3832          | 55.7046  |
+| 0.2636        | 1.8138  | 3000  | 0.3843          | 98.7021  |
+| 0.1623        | 2.4184  | 4000  | 0.4000          | 33.8374  |
+| 0.1503        | 3.0230  | 5000  | 0.4133          | 27.1959  |
+| 0.1061        | 3.6276  | 6000  | 0.4223          | 25.8623  |
+| 0.0638        | 4.2322  | 7000  | 0.4534          | 24.9179  |
+| 0.0671        | 4.8368  | 8000  | 0.4526          | 22.6665  |
+| 0.0406        | 5.4414  | 9000  | 0.4991          | 21.5252  |
+| 0.0372        | 6.0459  | 10000 | 0.5183          | 22.3878  |
+| 0.0273        | 6.6505  | 11000 | 0.5348          | 21.8627  |
+| 0.0195        | 7.2551  | 12000 | 0.5536          | 20.8458  |
+| 0.0212        | 7.8597  | 13000 | 0.5466          | 21.0162  |
+| 0.0146        | 8.4643  | 14000 | 0.5870          | 21.4089  |
+| 0.0126        | 9.0689  | 15000 | 0.6040          | 26.2815  |
+| 0.0113        | 9.6735  | 16000 | 0.6097          | 20.9229  |
+| 0.0088        | 10.2781 | 17000 | 0.6190          | 21.1083  |
+| 0.0098        | 10.8827 | 18000 | 0.6309          | 20.7387  |
+| 0.0069        | 11.4873 | 19000 | 0.6489          | 20.5855  |
+| 0.0056        | 12.0919 | 20000 | 0.6642          | 20.5590  |
+| 0.0064        | 12.6965 | 21000 | 0.6514          | 20.8815  |
+| 0.0053        | 13.3011 | 22000 | 0.6716          | 20.3149  |
+| 0.005         | 13.9057 | 23000 | 0.6720          | 20.3068  |
+| 0.0037        | 14.5103 | 24000 | 0.6912          | 20.6039  |
+| 0.0044        | 15.1149 | 25000 | 0.7038          | 20.6166  |
+| 0.004         | 15.7195 | 26000 | 0.6959          | 20.3149  |
+| 0.0029        | 16.3241 | 27000 | 0.7064          | 20.6454  |
+| 0.0031        | 16.9287 | 28000 | 0.7188          | 20.5463  |
+| 0.002         | 17.5333 | 29000 | 0.7127          | 20.7640  |
+| 0.0033        | 18.1378 | 30000 | 0.7193          | 20.4496  |
+| 0.0019        | 18.7424 | 31000 | 0.7109          | 20.6719  |
+| 0.002         | 19.3470 | 32000 | 0.7208          | 20.1306  |
+| 0.0013        | 19.9516 | 33000 | 0.7442          | 20.1490  |
+| 0.0007        | 20.5562 | 34000 | 0.7357          | 19.9198  |
+| 0.0012        | 21.1608 | 35000 | 0.7501          | 19.5755  |
+| 0.0022        | 21.7654 | 36000 | 0.7537          | 19.5870  |
+| 0.0008        | 22.3700 | 37000 | 0.7686          | 19.6031  |
+| 0.0013        | 22.9746 | 38000 | 0.7702          | 20.6097  |
+| 0.0005        | 23.5792 | 39000 | 0.7712          | 19.9590  |
+| 0.0007        | 24.1838 | 40000 | 0.7802          | 20.2020  |
+| 0.0004        | 24.7884 | 41000 | 0.8050          | 19.5536  |
+| 0.0004        | 25.3930 | 42000 | 0.8012          | 19.8093  |
+| 0.0003        | 25.9976 | 43000 | 0.8049          | 19.6722  |
+| 0.0002        | 26.6022 | 44000 | 0.8094          | 19.5214  |
+| 0.0002        | 27.2068 | 45000 | 0.8109          | 19.6296  |
+| 0.0001        | 27.8114 | 46000 | 0.8206          | 19.5248  |
+| 0.0001        | 28.4160 | 47000 | 0.8299          | 19.5974  |
+| 0.0001        | 29.0206 | 48000 | 0.8343          | 19.5490  |
+| 0.0001        | 29.6252 | 49000 | 0.8395          | 19.4661  |
+| 0.0001        | 30.2297 | 50000 | 0.8405          | 19.4108  |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.2.2+cu121
+- Datasets 3.2.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,248 @@
+{
+  "alignment_heads": [
+    [
+      13,
+      15
+    ],
+    [
+      15,
+      4
+    ],
+    [
+      15,
+      15
+    ],
+    [
+      16,
+      1
+    ],
+    [
+      20,
+      0
+    ],
+    [
+      23,
+      4
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
+    ],
+    [
+      2,
+      50359
+    ]
+  ],
+  "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": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "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": "4.41.2"
+}