End of training

README.md

@@ -0,0 +1,168 @@
+---
+language:
+- fa
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- fa-asr
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_15_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Persian
+  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. -->
+
+# Whisper Small Persian
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 15.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9061
+- Wer: 51.3701
+
+## 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: 14
+- eval_batch_size: 10
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 56
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.7495        | 0.39  | 100   | 0.8602          | 58.0774 |
+| 0.3059        | 0.77  | 200   | 0.5538          | 55.2248 |
+| 0.2002        | 1.16  | 300   | 0.5137          | 52.4615 |
+| 0.1798        | 1.54  | 400   | 0.5103          | 51.6578 |
+| 0.1678        | 1.93  | 500   | 0.4806          | 46.5512 |
+| 0.0932        | 2.32  | 600   | 0.4936          | 47.4955 |
+| 0.0944        | 2.7   | 700   | 0.5120          | 48.9160 |
+| 0.0493        | 3.09  | 800   | 0.5198          | 48.2611 |
+| 0.0506        | 3.47  | 900   | 0.5227          | 47.4128 |
+| 0.0482        | 3.86  | 1000  | 0.5256          | 46.9498 |
+| 0.0244        | 4.25  | 1100  | 0.5491          | 46.0849 |
+| 0.0272        | 4.63  | 1200  | 0.5621          | 46.9167 |
+| 0.0246        | 5.02  | 1300  | 0.5856          | 48.8036 |
+| 0.0159        | 5.41  | 1400  | 0.6145          | 48.3041 |
+| 0.0152        | 5.79  | 1500  | 0.6178          | 47.7568 |
+| 0.008         | 6.18  | 1600  | 0.6191          | 48.0611 |
+| 0.0077        | 6.56  | 1700  | 0.6309          | 46.3594 |
+| 0.0097        | 6.95  | 1800  | 0.6272          | 47.9139 |
+| 0.0056        | 7.34  | 1900  | 0.6594          | 46.5562 |
+| 0.0049        | 7.72  | 2000  | 0.6581          | 47.5831 |
+| 0.0042        | 8.11  | 2100  | 0.6953          | 48.0925 |
+| 0.0038        | 8.49  | 2200  | 0.6857          | 48.3719 |
+| 0.0033        | 8.88  | 2300  | 0.6983          | 49.6965 |
+| 0.003         | 9.27  | 2400  | 0.7109          | 48.1173 |
+| 0.0033        | 9.65  | 2500  | 0.6899          | 48.2363 |
+| 0.0027        | 10.04 | 2600  | 0.7074          | 48.3405 |
+| 0.0035        | 10.42 | 2700  | 0.7018          | 47.1003 |
+| 0.0026        | 10.81 | 2800  | 0.7198          | 47.1251 |
+| 0.0027        | 11.2  | 2900  | 0.7460          | 48.2760 |
+| 0.0023        | 11.58 | 3000  | 0.7348          | 47.7154 |
+| 0.0023        | 11.97 | 3100  | 0.7387          | 48.0081 |
+| 0.0024        | 12.36 | 3200  | 0.7199          | 46.8687 |
+| 0.0033        | 12.74 | 3300  | 0.7250          | 48.6895 |
+| 0.0017        | 13.13 | 3400  | 0.7242          | 49.0450 |
+| 0.0016        | 13.51 | 3500  | 0.7359          | 48.7010 |
+| 0.0022        | 13.9  | 3600  | 0.7220          | 48.1371 |
+| 0.0016        | 14.29 | 3700  | 0.7431          | 46.7563 |
+| 0.0012        | 14.67 | 3800  | 0.7564          | 47.0143 |
+| 0.0014        | 15.06 | 3900  | 0.7770          | 47.0242 |
+| 0.0008        | 15.44 | 4000  | 0.8116          | 48.4695 |
+| 0.0015        | 15.83 | 4100  | 0.7623          | 48.0925 |
+| 0.002         | 16.22 | 4200  | 0.7699          | 47.7254 |
+| 0.001         | 16.6  | 4300  | 0.7631          | 46.8754 |
+| 0.0009        | 16.99 | 4400  | 0.7591          | 48.4166 |
+| 0.0008        | 17.37 | 4500  | 0.7797          | 47.1780 |
+| 0.0008        | 17.76 | 4600  | 0.7851          | 46.7662 |
+| 0.0007        | 18.15 | 4700  | 0.7897          | 48.3157 |
+| 0.0006        | 18.53 | 4800  | 0.7760          | 48.8069 |
+| 0.0016        | 18.92 | 4900  | 0.7763          | 47.9718 |
+| 0.0009        | 19.31 | 5000  | 0.8151          | 48.1586 |
+| 0.0004        | 19.69 | 5100  | 0.7967          | 47.5567 |
+| 0.0007        | 20.08 | 5200  | 0.8094          | 46.7861 |
+| 0.001         | 20.46 | 5300  | 0.8206          | 47.1565 |
+| 0.0008        | 20.85 | 5400  | 0.8015          | 47.6212 |
+| 0.0004        | 21.24 | 5500  | 0.8104          | 47.2210 |
+| 0.0003        | 21.62 | 5600  | 0.8020          | 48.1454 |
+| 0.0004        | 22.01 | 5700  | 0.8295          | 46.9415 |
+| 0.0004        | 22.39 | 5800  | 0.8228          | 46.6108 |
+| 0.0005        | 22.78 | 5900  | 0.8386          | 48.0974 |
+| 0.0007        | 23.17 | 6000  | 0.8415          | 46.6141 |
+| 0.0003        | 23.55 | 6100  | 0.8283          | 46.3263 |
+| 0.0005        | 23.94 | 6200  | 0.8342          | 45.9658 |
+| 0.0002        | 24.32 | 6300  | 0.8379          | 46.6240 |
+| 0.0005        | 24.71 | 6400  | 0.8371          | 48.0809 |
+| 0.0002        | 25.1  | 6500  | 0.8258          | 47.5864 |
+| 0.0001        | 25.48 | 6600  | 0.8396          | 47.2607 |
+| 0.0002        | 25.87 | 6700  | 0.8491          | 47.5435 |
+| 0.0005        | 26.25 | 6800  | 0.8444          | 48.9937 |
+| 0.0001        | 26.64 | 6900  | 0.8540          | 48.0544 |
+| 0.0001        | 27.03 | 7000  | 0.8605          | 48.5390 |
+| 0.0001        | 27.41 | 7100  | 0.8613          | 48.9226 |
+| 0.0001        | 27.8  | 7200  | 0.8673          | 48.9491 |
+| 0.0001        | 28.19 | 7300  | 0.8688          | 48.7936 |
+| 0.0001        | 28.57 | 7400  | 0.8711          | 48.8350 |
+| 0.0001        | 28.96 | 7500  | 0.8728          | 48.8581 |
+| 0.0001        | 29.34 | 7600  | 0.8736          | 49.8454 |
+| 0.0001        | 29.73 | 7700  | 0.8759          | 49.9248 |
+| 0.0001        | 30.12 | 7800  | 0.8786          | 49.6932 |
+| 0.0001        | 30.5  | 7900  | 0.8809          | 49.7429 |
+| 0.0001        | 30.89 | 8000  | 0.8826          | 49.9132 |
+| 0.0001        | 31.27 | 8100  | 0.8840          | 50.4506 |
+| 0.0001        | 31.66 | 8200  | 0.8859          | 50.2919 |
+| 0.0001        | 32.05 | 8300  | 0.8888          | 50.5532 |
+| 0.0001        | 32.43 | 8400  | 0.8924          | 50.6491 |
+| 0.0001        | 32.82 | 8500  | 0.8928          | 50.9997 |
+| 0.0001        | 33.2  | 8600  | 0.8920          | 51.3188 |
+| 0.0001        | 33.59 | 8700  | 0.8946          | 51.1419 |
+| 0.0001        | 33.98 | 8800  | 0.8956          | 51.1551 |
+| 0.0001        | 34.36 | 8900  | 0.8988          | 50.7483 |
+| 0.0001        | 34.75 | 9000  | 0.9003          | 50.8889 |
+| 0.0001        | 35.14 | 9100  | 0.9011          | 50.9302 |
+| 0.0001        | 35.52 | 9200  | 0.9020          | 50.9533 |
+| 0.0001        | 35.91 | 9300  | 0.9019          | 51.5603 |
+| 0.0001        | 36.29 | 9400  | 0.9033          | 51.6479 |
+| 0.0001        | 36.68 | 9500  | 0.9040          | 51.6810 |
+| 0.0001        | 37.07 | 9600  | 0.9049          | 51.6744 |
+| 0.0001        | 37.45 | 9700  | 0.9053          | 51.6429 |
+| 0.0001        | 37.84 | 9800  | 0.9057          | 51.5966 |
+| 0.0001        | 38.22 | 9900  | 0.9060          | 51.7372 |
+| 0.0001        | 38.61 | 10000 | 0.9061          | 51.3701 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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+}

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