End of training

README.md

@@ -0,0 +1,96 @@
+---
+library_name: transformers
+language:
+- yo
+- en
+- ig
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-small-multilingual-naija-9-19-2024
+  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-9-19-2024
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3460
+- Wer: 26.4719
+
+## 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: 5e-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: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.0057        | 0.0997 | 250  | 1.0392          | 143.2330 |
+| 0.7769        | 0.1994 | 500  | 0.8744          | 87.4356  |
+| 0.6718        | 0.2992 | 750  | 0.7590          | 59.3527  |
+| 0.5808        | 0.3989 | 1000 | 0.7119          | 59.9959  |
+| 0.5277        | 0.4986 | 1250 | 0.6492          | 51.7774  |
+| 0.4905        | 0.5983 | 1500 | 0.6179          | 51.2283  |
+| 0.469         | 0.6980 | 1750 | 0.5779          | 47.8888  |
+| 0.4354        | 0.7978 | 2000 | 0.5559          | 47.9575  |
+| 0.4193        | 0.8975 | 2250 | 0.5324          | 46.0621  |
+| 0.3942        | 0.9972 | 2500 | 0.5135          | 48.0926  |
+| 0.2432        | 1.0969 | 2750 | 0.5089          | 46.1072  |
+| 0.2417        | 1.1966 | 3000 | 0.4927          | 43.0126  |
+| 0.2237        | 1.2964 | 3250 | 0.4829          | 45.9237  |
+| 0.2591        | 1.3961 | 3500 | 0.4626          | 40.8138  |
+| 0.2037        | 1.4958 | 3750 | 0.4468          | 39.4518  |
+| 0.2136        | 1.5955 | 4000 | 0.4360          | 37.9211  |
+| 0.2212        | 1.6953 | 4250 | 0.4207          | 37.9017  |
+| 0.2033        | 1.7950 | 4500 | 0.4092          | 36.7122  |
+| 0.1947        | 1.8947 | 4750 | 0.4001          | 38.3042  |
+| 0.1617        | 1.9944 | 5000 | 0.3855          | 33.8600  |
+| 0.0718        | 2.0941 | 5250 | 0.3893          | 34.5793  |
+| 0.0703        | 2.1939 | 5500 | 0.3839          | 32.1661  |
+| 0.0664        | 2.2936 | 5750 | 0.3791          | 32.3118  |
+| 0.0729        | 2.3933 | 6000 | 0.3743          | 31.5436  |
+| 0.0633        | 2.4930 | 6250 | 0.3684          | 30.5690  |
+| 0.0568        | 2.5927 | 6500 | 0.3616          | 28.4227  |
+| 0.0573        | 2.6925 | 6750 | 0.3555          | 28.2268  |
+| 0.0643        | 2.7922 | 7000 | 0.3526          | 28.1880  |
+| 0.0659        | 2.8919 | 7250 | 0.3479          | 26.6771  |
+| 0.0532        | 2.9916 | 7500 | 0.3460          | 26.4719  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.0+cu118
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+  "forced_decoder_ids": [
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+  "is_multilingual": true,
+  "lang_to_id": {
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+  "transformers_version": "4.44.2"
+}

runs/Sep19_12-52-46_12ccc1282c15/events.out.tfevents.1726750384.12ccc1282c15.120.0

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