End of training

README.md

@@ -0,0 +1,130 @@
+---
+library_name: transformers
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-turbo-greek-greece
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: fleurs
+      config: el_gr
+      split: None
+      args: el_gr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 11.059118170434324
+---
+
+<!-- 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-large-v3-turbo-greek-greece
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3006
+- Model Preparation Time: 0.0067
+- Wer Ortho: 26.8701
+- Wer: 11.0591
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------:|:-------:|
+| 0.6129        | 0.0204 | 32   | 0.2996          | 0.0067                 | 29.5644   | 14.1172 |
+| 0.5021        | 0.0408 | 64   | 0.3064          | 0.0067                 | 29.0414   | 14.0381 |
+| 0.5068        | 0.0612 | 96   | 0.3116          | 0.0067                 | 29.3261   | 14.2226 |
+| 0.5049        | 0.0816 | 128  | 0.3000          | 0.0067                 | 28.5317   | 13.8404 |
+| 0.5289        | 0.1020 | 160  | 0.3261          | 0.0067                 | 29.5048   | 14.3413 |
+| 0.4464        | 0.1224 | 192  | 0.3336          | 0.0067                 | 29.5115   | 14.2292 |
+| 0.4324        | 0.1428 | 224  | 0.3267          | 0.0067                 | 28.9157   | 13.8865 |
+| 0.4376        | 0.1632 | 256  | 0.3319          | 0.0067                 | 29.8292   | 14.7367 |
+| 0.4623        | 0.1836 | 288  | 0.3493          | 0.0067                 | 29.5379   | 14.2424 |
+| 0.4494        | 0.2040 | 320  | 0.3210          | 0.0067                 | 28.9620   | 13.7415 |
+| 0.4541        | 0.2244 | 352  | 0.3284          | 0.0067                 | 29.0348   | 13.7349 |
+| 0.4262        | 0.2448 | 384  | 0.3169          | 0.0067                 | 28.7369   | 13.2077 |
+| 0.4365        | 0.2652 | 416  | 0.3131          | 0.0067                 | 28.7369   | 13.1484 |
+| 0.4701        | 0.2856 | 448  | 0.3144          | 0.0067                 | 28.5118   | 13.0759 |
+| 0.4256        | 0.3060 | 480  | 0.3017          | 0.0067                 | 28.4126   | 13.2868 |
+| 0.4437        | 0.3264 | 512  | 0.3080          | 0.0067                 | 28.6111   | 13.3724 |
+| 0.4147        | 0.3468 | 544  | 0.3141          | 0.0067                 | 28.1875   | 12.4629 |
+| 0.4089        | 0.3672 | 576  | 0.3150          | 0.0067                 | 28.2669   | 12.9638 |
+| 0.4448        | 0.3876 | 608  | 0.3221          | 0.0067                 | 28.5979   | 12.8913 |
+| 0.4354        | 0.4080 | 640  | 0.3091          | 0.0067                 | 28.1875   | 12.7859 |
+| 0.3877        | 0.4284 | 672  | 0.3174          | 0.0067                 | 28.0816   | 12.5816 |
+| 0.4411        | 0.4488 | 704  | 0.3130          | 0.0067                 | 28.4788   | 13.0693 |
+| 0.4056        | 0.4692 | 736  | 0.3168          | 0.0067                 | 28.3000   | 12.4366 |
+| 0.4043        | 0.4896 | 768  | 0.3291          | 0.0067                 | 28.1213   | 12.4695 |
+| 0.4265        | 0.5100 | 800  | 0.3230          | 0.0067                 | 27.8565   | 12.0082 |
+| 0.4075        | 0.5304 | 832  | 0.3062          | 0.0067                 | 27.4990   | 12.1400 |
+| 0.4075        | 0.5508 | 864  | 0.3137          | 0.0067                 | 27.6711   | 12.0675 |
+| 0.4312        | 0.5712 | 896  | 0.3086          | 0.0067                 | 27.6777   | 11.8302 |
+| 0.4294        | 0.5916 | 928  | 0.3034          | 0.0067                 | 27.4262   | 12.1202 |
+| 0.4268        | 0.6120 | 960  | 0.3126          | 0.0067                 | 27.9558   | 12.3707 |
+| 0.4385        | 0.6325 | 992  | 0.3156          | 0.0067                 | 28.0087   | 12.3113 |
+| 0.3886        | 0.6529 | 1024 | 0.3043          | 0.0067                 | 27.6115   | 11.8566 |
+| 0.3761        | 0.6733 | 1056 | 0.3076          | 0.0067                 | 27.2541   | 11.8434 |
+| 0.4109        | 0.6937 | 1088 | 0.3125          | 0.0067                 | 27.4924   | 12.0214 |
+| 0.4231        | 0.7141 | 1120 | 0.3025          | 0.0067                 | 27.3070   | 11.8368 |
+| 0.4126        | 0.7345 | 1152 | 0.3058          | 0.0067                 | 27.3070   | 11.7577 |
+| 0.3999        | 0.7549 | 1184 | 0.3056          | 0.0067                 | 26.9694   | 11.4677 |
+| 0.4354        | 0.7753 | 1216 | 0.3031          | 0.0067                 | 27.4725   | 11.6589 |
+| 0.4036        | 0.7957 | 1248 | 0.2979          | 0.0067                 | 27.2210   | 11.4611 |
+| 0.3972        | 0.8161 | 1280 | 0.3043          | 0.0067                 | 27.3467   | 11.4348 |
+| 0.3478        | 0.8365 | 1312 | 0.3055          | 0.0067                 | 27.4063   | 11.5139 |
+| 0.3915        | 0.8569 | 1344 | 0.3015          | 0.0067                 | 27.1813   | 11.4743 |
+| 0.4092        | 0.8773 | 1376 | 0.2999          | 0.0067                 | 27.0356   | 11.3952 |
+| 0.4042        | 0.8977 | 1408 | 0.2974          | 0.0067                 | 27.0025   | 11.3227 |
+| 0.4332        | 0.9181 | 1440 | 0.3026          | 0.0067                 | 27.2739   | 11.4282 |
+| 0.4164        | 0.9385 | 1472 | 0.2996          | 0.0067                 | 27.0158   | 11.1777 |
+| 0.3774        | 0.9589 | 1504 | 0.3009          | 0.0067                 | 27.0820   | 11.0987 |
+| 0.3934        | 0.9793 | 1536 | 0.3006          | 0.0067                 | 26.8701   | 11.0591 |
+| 0.3695        | 0.9997 | 1568 | 0.3020          | 0.0067                 | 26.9032   | 11.0921 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.5.1
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

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+      3
+    ],
+    [
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+    [
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+  ],
+  "begin_suppress_tokens": [
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+    50257
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|yue|>": 50358,
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+  "language": "greek",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50364,
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+  "prev_sot_token_id": 50362,
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+  "task_to_id": {
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+  "transformers_version": "4.51.3"
+}

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