End of training

README.md

@@ -0,0 +1,99 @@
+---
+library_name: transformers
+language:
+- fa
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper-large-v3-turbo-fa - Sadegh Karimi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: fa
+      split: test
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 9.627528266117483
+---
+
+<!-- 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-fa - Sadegh Karimi
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0839
+- Wer: 9.6275
+
+## 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: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.1789        | 0.0217 | 500   | 0.2427          | 26.4099 |
+| 0.2077        | 0.0435 | 1000  | 0.2296          | 27.1873 |
+| 0.1928        | 0.0652 | 1500  | 0.2320          | 27.5951 |
+| 0.1801        | 0.0869 | 2000  | 0.2026          | 24.0409 |
+| 0.1865        | 0.1086 | 2500  | 0.1925          | 22.3742 |
+| 0.1535        | 0.1304 | 3000  | 0.1872          | 22.9511 |
+| 0.1463        | 0.1521 | 3500  | 0.1786          | 21.5436 |
+| 0.0935        | 0.1738 | 4000  | 0.1749          | 20.5330 |
+| 0.1052        | 0.1956 | 4500  | 0.1597          | 19.0314 |
+| 0.091         | 0.2173 | 5000  | 0.1553          | 20.2125 |
+| 0.0743        | 0.2390 | 5500  | 0.1474          | 16.9160 |
+| 0.096         | 0.2607 | 6000  | 0.1352          | 15.9027 |
+| 0.111         | 0.2825 | 6500  | 0.1259          | 14.9071 |
+| 0.089         | 0.3042 | 7000  | 0.1179          | 14.1146 |
+| 0.0813        | 0.3259 | 7500  | 0.1101          | 12.8653 |
+| 0.072         | 0.3477 | 8000  | 0.1012          | 11.8138 |
+| 0.0715        | 0.3694 | 8500  | 0.0948          | 10.9791 |
+| 0.0683        | 0.3911 | 9000  | 0.0903          | 10.2563 |
+| 0.0634        | 0.4128 | 9500  | 0.0861          | 9.6616  |
+| 0.0739        | 0.4346 | 10000 | 0.0839          | 9.6275  |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.1.0+cu118
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -245,5 +245,5 @@
     "transcribe": 50360,
     "translate": 50359
   },
-  "transformers_version": "4.46.0.dev0"
+  "transformers_version": "4.47.1"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:000541fa56764721121e12f8c36c52009609ff116ffd5432ea8a9faf56e81f87
+oid sha256:4684c622f9ed7cca96a0694cb277a58f912d2550382c53e920d48141d3bca1b1
 size 3235581408

runs/Jan10_17-02-24_20c86341c6b2/events.out.tfevents.1736528576.20c86341c6b2.1373.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d66759487949fb5969d3b6f1490b2653b86bfcf67639c75f57eb14adf4e7943
-size 64825
+oid sha256:dab2e35fb2bd1ad52bf557201ae38a83ef97e6b3da48c766d2736f7f8f2490f1
+size 83331