End of training

README.md

@@ -0,0 +1,92 @@
+---
+library_name: transformers
+language:
+- fa
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_20_0
+metrics:
+- wer
+model-index:
+- name: whisper-base-fa - Sadegh Karimi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 20.0
+      type: mozilla-foundation/common_voice_20_0
+      args: 'config: fa, split: train, test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 24.311028175747577
+---
+
+<!-- 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-base-fa - Sadegh Karimi
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 20.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1949
+- Wer: 24.3110
+
+## 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
+- 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_steps: 500
+- training_steps: 15000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.524         | 0.0493 | 1000  | 0.5244          | 54.4099 |
+| 0.4158        | 0.0986 | 2000  | 0.4063          | 45.3387 |
+| 0.3568        | 0.1479 | 3000  | 0.3515          | 39.9380 |
+| 0.3243        | 0.1972 | 4000  | 0.3176          | 36.2121 |
+| 0.2978        | 0.2465 | 5000  | 0.2894          | 34.1671 |
+| 0.2703        | 0.2958 | 6000  | 0.2691          | 32.6126 |
+| 0.2591        | 0.3451 | 7000  | 0.2522          | 30.4674 |
+| 0.2728        | 0.3944 | 8000  | 0.2388          | 29.0826 |
+| 0.2299        | 0.4437 | 9000  | 0.2297          | 27.9737 |
+| 0.2368        | 0.4930 | 10000 | 0.2186          | 26.9358 |
+| 0.1997        | 0.5423 | 11000 | 0.2116          | 26.3267 |
+| 0.2082        | 0.5916 | 12000 | 0.2052          | 25.6820 |
+| 0.2131        | 0.6409 | 13000 | 0.2000          | 25.1361 |
+| 0.1955        | 0.6902 | 14000 | 0.1966          | 24.4390 |
+| 0.1945        | 0.7395 | 15000 | 0.1949          | 24.3110 |
+
+
+### Framework versions
+
+- Transformers 4.48.2
+- Pytorch 2.1.0+cu118
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      3,
+      1
+    ],
+    [
+      4,
+      2
+    ],
+    [
+      4,
+      3
+    ],
+    [
+      4,
+      7
+    ],
+    [
+      5,
+      1
+    ],
+    [
+      5,
+      2
+    ],
+    [
+      5,
+      4
+    ],
+    [
+      5,
+      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": {
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+  "language": "Persian",
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+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
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+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50358
+  },
+  "transformers_version": "4.48.2"
+}