End of training

README.md

@@ -0,0 +1,113 @@
+---
+library_name: transformers
+language:
+- yo
+- en
+- ig
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-small-multilingual-naija-11-03-2024
+  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-multilingual-naija-11-03-2024
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8445
+
+## 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
+- num_epochs: 1.5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.926         | 0.0296 | 100  | 2.1605          |
+| 2.1251        | 0.0592 | 200  | 1.6041          |
+| 1.8711        | 0.0889 | 300  | 1.3987          |
+| 1.5748        | 0.1185 | 400  | 1.2746          |
+| 1.4264        | 0.1481 | 500  | 1.2025          |
+| 1.4298        | 0.1777 | 600  | 1.1450          |
+| 1.3167        | 0.2073 | 700  | 1.0946          |
+| 1.2684        | 0.2370 | 800  | 1.0631          |
+| 1.1892        | 0.2666 | 900  | 1.0364          |
+| 1.16          | 0.2962 | 1000 | 1.0220          |
+| 1.1475        | 0.3258 | 1100 | 1.0080          |
+| 1.0742        | 0.3555 | 1200 | 0.9798          |
+| 1.066         | 0.3851 | 1300 | 0.9837          |
+| 1.0404        | 0.4147 | 1400 | 0.9693          |
+| 1.055         | 0.4443 | 1500 | 0.9536          |
+| 1.0622        | 0.4739 | 1600 | 0.9489          |
+| 0.9947        | 0.5036 | 1700 | 0.9403          |
+| 0.9904        | 0.5332 | 1800 | 0.9300          |
+| 0.9607        | 0.5628 | 1900 | 0.9207          |
+| 0.9464        | 0.5924 | 2000 | 0.9250          |
+| 0.9086        | 0.6220 | 2100 | 0.9131          |
+| 0.9332        | 0.6517 | 2200 | 0.8991          |
+| 0.8954        | 0.6813 | 2300 | 0.8989          |
+| 0.9175        | 0.7109 | 2400 | 0.8899          |
+| 0.9203        | 0.7405 | 2500 | 0.8886          |
+| 0.84          | 0.7701 | 2600 | 0.8874          |
+| 0.8379        | 0.7998 | 2700 | 0.8796          |
+| 0.8328        | 0.8294 | 2800 | 0.8765          |
+| 0.8455        | 0.8590 | 2900 | 0.8671          |
+| 0.8391        | 0.8886 | 3000 | 0.8622          |
+| 0.7729        | 0.9182 | 3100 | 0.8699          |
+| 0.803         | 0.9479 | 3200 | 0.8597          |
+| 0.7808        | 0.9775 | 3300 | 0.8507          |
+| 0.729         | 1.0071 | 3400 | 0.8573          |
+| 0.7048        | 1.0367 | 3500 | 0.8581          |
+| 0.7018        | 1.0664 | 3600 | 0.8551          |
+| 0.7297        | 1.0960 | 3700 | 0.8545          |
+| 0.6594        | 1.1256 | 3800 | 0.8504          |
+| 0.6682        | 1.1552 | 3900 | 0.8566          |
+| 0.6621        | 1.1848 | 4000 | 0.8548          |
+| 0.6626        | 1.2145 | 4100 | 0.8510          |
+| 0.6611        | 1.2441 | 4200 | 0.8493          |
+| 0.6505        | 1.2737 | 4300 | 0.8464          |
+| 0.6323        | 1.3033 | 4400 | 0.8483          |
+| 0.6564        | 1.3329 | 4500 | 0.8421          |
+| 0.6293        | 1.3626 | 4600 | 0.8454          |
+| 0.5936        | 1.3922 | 4700 | 0.8447          |
+| 0.6114        | 1.4218 | 4800 | 0.8458          |
+| 0.6551        | 1.4514 | 4900 | 0.8454          |
+| 0.5963        | 1.4810 | 5000 | 0.8445          |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.1.0+cu118
+- Datasets 3.1.0
+- Tokenizers 0.20.1

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+}

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