Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Sep29-Mixat-whisper-lg-3-transliteration-0.1trainasval
+  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. -->
+
+# Sep29-Mixat-whisper-lg-3-transliteration-0.1trainasval
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7875
+- Wer: 39.7972
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.7619        | 0.4762  | 100  | 0.5335          | 54.2752 |
+| 0.4908        | 0.9524  | 200  | 0.4641          | 49.9738 |
+| 0.3846        | 1.4286  | 300  | 0.4498          | 43.4342 |
+| 0.389         | 1.9048  | 400  | 0.4382          | 42.3151 |
+| 0.2851        | 2.3810  | 500  | 0.4605          | 42.1927 |
+| 0.2723        | 2.8571  | 600  | 0.4651          | 42.0878 |
+| 0.202         | 3.3333  | 700  | 0.4855          | 40.9862 |
+| 0.1731        | 3.8095  | 800  | 0.4809          | 41.3184 |
+| 0.1243        | 4.2857  | 900  | 0.5475          | 40.6540 |
+| 0.0988        | 4.7619  | 1000 | 0.5303          | 40.7064 |
+| 0.0742        | 5.2381  | 1100 | 0.5775          | 40.6889 |
+| 0.0531        | 5.7143  | 1200 | 0.5825          | 40.5316 |
+| 0.0482        | 6.1905  | 1300 | 0.5976          | 41.3534 |
+| 0.0368        | 6.6667  | 1400 | 0.6118          | 41.0911 |
+| 0.0312        | 7.1429  | 1500 | 0.6439          | 42.0353 |
+| 0.0242        | 7.6190  | 1600 | 0.6332          | 42.0528 |
+| 0.0239        | 8.0952  | 1700 | 0.6684          | 39.3251 |
+| 0.018         | 8.5714  | 1800 | 0.6527          | 42.3326 |
+| 0.019         | 9.0476  | 1900 | 0.6736          | 40.7239 |
+| 0.0153        | 9.5238  | 2000 | 0.6701          | 42.3326 |
+| 0.0168        | 10.0    | 2100 | 0.7033          | 43.6790 |
+| 0.0134        | 10.4762 | 2200 | 0.7028          | 40.2868 |
+| 0.0141        | 10.9524 | 2300 | 0.6997          | 43.9063 |
+| 0.0112        | 11.4286 | 2400 | 0.7055          | 42.1927 |
+| 0.0118        | 11.9048 | 2500 | 0.7112          | 40.4266 |
+| 0.0091        | 12.3810 | 2600 | 0.7509          | 41.5982 |
+| 0.0106        | 12.8571 | 2700 | 0.7075          | 42.7872 |
+| 0.0072        | 13.3333 | 2800 | 0.7263          | 43.3992 |
+| 0.0096        | 13.8095 | 2900 | 0.7365          | 42.5249 |
+| 0.0086        | 14.2857 | 3000 | 0.7722          | 42.0353 |
+| 0.0099        | 14.7619 | 3100 | 0.7480          | 40.9862 |
+| 0.0112        | 15.2381 | 3200 | 0.7422          | 40.9512 |
+| 0.0076        | 15.7143 | 3300 | 0.7749          | 41.3709 |
+| 0.0087        | 16.1905 | 3400 | 0.7505          | 39.9545 |
+| 0.0073        | 16.6667 | 3500 | 0.7583          | 41.8780 |
+| 0.0072        | 17.1429 | 3600 | 0.7541          | 41.0911 |
+| 0.0063        | 17.6190 | 3700 | 0.7516          | 40.9337 |
+| 0.0074        | 18.0952 | 3800 | 0.7798          | 41.2135 |
+| 0.0067        | 18.5714 | 3900 | 0.7780          | 40.4791 |
+| 0.0078        | 19.0476 | 4000 | 0.7596          | 41.2660 |
+| 0.0061        | 19.5238 | 4100 | 0.7660          | 39.6048 |
+| 0.0071        | 20.0    | 4200 | 0.7699          | 40.9862 |
+| 0.0045        | 20.4762 | 4300 | 0.7855          | 41.4583 |
+| 0.0055        | 20.9524 | 4400 | 0.7875          | 39.7972 |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      7,
+      0
+    ],
+    [
+      10,
+      17
+    ],
+    [
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+      18
+    ],
+    [
+      13,
+      12
+    ],
+    [
+      16,
+      1
+    ],
+    [
+      17,
+      14
+    ],
+    [
+      19,
+      11
+    ],
+    [
+      21,
+      4
+    ],
+    [
+      24,
+      1
+    ],
+    [
+      25,
+      6
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
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+    "<|ps|>": 50340,
+    "<|pt|>": 50267,
+    "<|ro|>": 50284,
+    "<|ru|>": 50263,
+    "<|sa|>": 50344,
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+    "<|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,
+    "<|yue|>": 50358,
+    "<|zh|>": 50260
+  },
+  "language": "arabic",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50364,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50362,
+  "return_timestamps": false,
+  "suppress_tokens": [
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
+  },
+  "transformers_version": "4.43.4"
+}