End of training

README.md

@@ -0,0 +1,127 @@
+---
+library_name: transformers
+language:
+- sw
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_18_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Hi - Sanchit Gandhi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_18_0
+      args: 'config: sw, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 54.080058758722
+---
+
+<!-- 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 Hi - Sanchit Gandhi
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9542
+- Wer: 54.0801
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer      |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.7988        | 0.2451  | 100  | 1.2849          | 109.6915 |
+| 0.8952        | 0.4902  | 200  | 1.1418          | 95.3581  |
+| 0.7785        | 0.7353  | 300  | 1.0263          | 94.3665  |
+| 0.7053        | 0.9804  | 400  | 0.9466          | 85.3250  |
+| 0.5318        | 1.2255  | 500  | 0.9058          | 81.4873  |
+| 0.4995        | 1.4706  | 600  | 0.8554          | 66.8638  |
+| 0.4802        | 1.7157  | 700  | 0.8245          | 64.1645  |
+| 0.4654        | 1.9608  | 800  | 0.7959          | 77.4477  |
+| 0.2461        | 2.2059  | 900  | 0.8013          | 66.1440  |
+| 0.2342        | 2.4510  | 1000 | 0.7986          | 52.0676  |
+| 0.2239        | 2.6961  | 1100 | 0.7772          | 62.4128  |
+| 0.2732        | 2.9412  | 1200 | 0.7743          | 68.8065  |
+| 0.1017        | 3.1863  | 1300 | 0.8005          | 65.6739  |
+| 0.1081        | 3.4314  | 1400 | 0.8069          | 68.5678  |
+| 0.1045        | 3.6765  | 1500 | 0.8008          | 63.2317  |
+| 0.1076        | 3.9216  | 1600 | 0.7981          | 70.0220  |
+| 0.0604        | 4.1667  | 1700 | 0.8220          | 57.7194  |
+| 0.0449        | 4.4118  | 1800 | 0.8294          | 68.8652  |
+| 0.0488        | 4.6569  | 1900 | 0.8347          | 59.0709  |
+| 0.0453        | 4.9020  | 2000 | 0.8300          | 67.5468  |
+| 0.0224        | 5.1471  | 2100 | 0.8509          | 51.2523  |
+| 0.0179        | 5.3922  | 2200 | 0.8573          | 59.6071  |
+| 0.0224        | 5.6373  | 2300 | 0.8622          | 50.2828  |
+| 0.0218        | 5.8824  | 2400 | 0.8650          | 59.3720  |
+| 0.01          | 6.1275  | 2500 | 0.8657          | 74.6126  |
+| 0.0109        | 6.3725  | 2600 | 0.8816          | 64.8843  |
+| 0.0095        | 6.6176  | 2700 | 0.8817          | 57.7378  |
+| 0.0086        | 6.8627  | 2800 | 0.8824          | 69.1223  |
+| 0.0046        | 7.1078  | 2900 | 0.8988          | 58.5861  |
+| 0.0037        | 7.3529  | 3000 | 0.9064          | 55.1965  |
+| 0.005         | 7.5980  | 3100 | 0.9079          | 65.3654  |
+| 0.0048        | 7.8431  | 3200 | 0.8993          | 52.4128  |
+| 0.0023        | 8.0882  | 3300 | 0.9158          | 59.9412  |
+| 0.0021        | 8.3333  | 3400 | 0.9183          | 55.7363  |
+| 0.0022        | 8.5784  | 3500 | 0.9247          | 60.8336  |
+| 0.002         | 8.8235  | 3600 | 0.9282          | 60.2644  |
+| 0.0017        | 9.0686  | 3700 | 0.9243          | 61.2156  |
+| 0.0016        | 9.3137  | 3800 | 0.9308          | 61.0797  |
+| 0.0017        | 9.5588  | 3900 | 0.9399          | 52.4091  |
+| 0.0014        | 9.8039  | 4000 | 0.9414          | 50.3783  |
+| 0.0013        | 10.0490 | 4100 | 0.9440          | 54.8109  |
+| 0.0013        | 10.2941 | 4200 | 0.9430          | 58.0353  |
+| 0.0013        | 10.5392 | 4300 | 0.9472          | 55.0790  |
+| 0.0012        | 10.7843 | 4400 | 0.9470          | 55.8538  |
+| 0.0011        | 11.0294 | 4500 | 0.9488          | 56.8454  |
+| 0.0011        | 11.2745 | 4600 | 0.9517          | 54.1315  |
+| 0.0011        | 11.5196 | 4700 | 0.9530          | 53.8414  |
+| 0.0011        | 11.7647 | 4800 | 0.9538          | 54.4583  |
+| 0.0011        | 12.0098 | 4900 | 0.9539          | 54.0507  |
+| 0.0011        | 12.2549 | 5000 | 0.9542          | 54.0801  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+  "decoder_start_token_id": 50258,
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+  "is_multilingual": true,
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+  "language": "english",
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+}

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