End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+language:
+- yo
+- en
+- ig
+license: apache-2.0
+base_model: ccibeekeoc42/whisper-small-yoruba-07-17
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-small-multilingual-naija-10-20-2024
+  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-10-20-2024
+
+This model is a fine-tuned version of [ccibeekeoc42/whisper-small-yoruba-07-17](https://huggingface.co/ccibeekeoc42/whisper-small-yoruba-07-17) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7923
+
+## 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
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.5348        | 0.0458 | 100  | 1.4792          |
+| 1.1822        | 0.0916 | 200  | 1.1469          |
+| 0.9827        | 0.1374 | 300  | 1.0446          |
+| 0.9354        | 0.1832 | 400  | 0.9927          |
+| 0.8592        | 0.2290 | 500  | 0.9554          |
+| 0.7696        | 0.2749 | 600  | 0.9287          |
+| 0.7795        | 0.3207 | 700  | 0.9012          |
+| 0.712         | 0.3665 | 800  | 0.8869          |
+| 0.6793        | 0.4123 | 900  | 0.8753          |
+| 0.7472        | 0.4581 | 1000 | 0.8578          |
+| 0.7303        | 0.5039 | 1100 | 0.8460          |
+| 0.6875        | 0.5497 | 1200 | 0.8380          |
+| 0.7384        | 0.5955 | 1300 | 0.8287          |
+| 0.7037        | 0.6413 | 1400 | 0.8211          |
+| 0.712         | 0.6871 | 1500 | 0.8195          |
+| 0.679         | 0.7329 | 1600 | 0.8073          |
+| 0.6814        | 0.7787 | 1700 | 0.8033          |
+| 0.6344        | 0.8246 | 1800 | 0.7994          |
+| 0.6103        | 0.8704 | 1900 | 0.7950          |
+| 0.6994        | 0.9162 | 2000 | 0.7926          |
+| 0.5639        | 0.9620 | 2100 | 0.7923          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.0.1+cu118
+- Datasets 3.0.1
+- Tokenizers 0.20.1

generation_config.json

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+  "decoder_start_token_id": 50258,
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+  "forced_decoder_ids": [
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+    [
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+  "is_multilingual": true,
+  "lang_to_id": {
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+  "transformers_version": "4.45.2"
+}

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