End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: nyankole_wav2vec2-runpod-xls-r-300m-lrPlateau
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mbalireshawal-makerere-university/huggingface/runs/4b1qnx1u)
+# nyankole_wav2vec2-runpod-xls-r-300m-lrPlateau
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6614
+- Wer: 0.5415
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: reduce_lr_on_plateau
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 6.1863        | 0.9953  | 105  | 3.1550          | 1.0    |
+| 2.9618        | 2.0     | 211  | 2.8783          | 1.0    |
+| 2.8789        | 2.9953  | 316  | 2.8603          | 1.0    |
+| 2.8303        | 4.0     | 422  | 2.8302          | 1.0    |
+| 2.8401        | 4.9953  | 527  | 2.8178          | 1.0    |
+| 2.8001        | 6.0     | 633  | 2.7994          | 1.0    |
+| 2.8123        | 6.9953  | 738  | 2.7633          | 1.0    |
+| 2.6759        | 8.0     | 844  | 2.3806          | 1.0    |
+| 1.9592        | 8.9953  | 949  | 1.3134          | 0.9990 |
+| 1.2909        | 10.0    | 1055 | 0.9641          | 0.8247 |
+| 1.0631        | 10.9953 | 1160 | 0.8082          | 0.7242 |
+| 0.9105        | 12.0    | 1266 | 0.7254          | 0.6706 |
+| 0.8196        | 12.9953 | 1371 | 0.6825          | 0.6552 |
+| 0.7403        | 14.0    | 1477 | 0.6688          | 0.6265 |
+| 0.6957        | 14.9953 | 1582 | 0.6459          | 0.5905 |
+| 0.6438        | 16.0    | 1688 | 0.6298          | 0.5796 |
+| 0.6147        | 16.9953 | 1793 | 0.6176          | 0.5701 |
+| 0.5822        | 18.0    | 1899 | 0.6246          | 0.5562 |
+| 0.5593        | 18.9953 | 2004 | 0.6254          | 0.5567 |
+| 0.5334        | 20.0    | 2110 | 0.6184          | 0.5487 |
+| 0.5171        | 20.9953 | 2215 | 0.6127          | 0.5459 |
+| 0.475         | 22.0    | 2321 | 0.6093          | 0.5335 |
+| 0.4814        | 22.9953 | 2426 | 0.6090          | 0.5485 |
+| 0.4441        | 24.0    | 2532 | 0.5986          | 0.5361 |
+| 0.4402        | 24.9953 | 2637 | 0.6142          | 0.5459 |
+| 0.4196        | 26.0    | 2743 | 0.6262          | 0.5448 |
+| 0.4109        | 26.9953 | 2848 | 0.6119          | 0.5397 |
+| 0.4078        | 28.0    | 2954 | 0.6150          | 0.5412 |
+| 0.3852        | 28.9953 | 3059 | 0.6237          | 0.5332 |
+| 0.3731        | 30.0    | 3165 | 0.6301          | 0.5338 |
+| 0.3601        | 30.9953 | 3270 | 0.6162          | 0.5461 |
+| 0.3553        | 32.0    | 3376 | 0.6614          | 0.5415 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.2.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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