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wav2vec2-base-Malawi-small

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 ---
 library_name: transformers
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 ---
 library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-base-Malawi-small
+  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. -->
+# wav2vec2-base-Malawi-small
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8095
+- Wer: 0.4636
+- Cer: 0.1534
+## 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: 0.0003
+- train_batch_size: 6
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 900
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| 7.3684        | 14.6341 | 300  | 3.2704          | 1.0    | 1.0    |
+| 1.9223        | 29.2683 | 600  | 0.8459          | 0.5406 | 0.1849 |
+| 0.2949        | 43.9024 | 900  | 0.8095          | 0.4636 | 0.1534 |
+### Framework versions
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 1.18.3
+- Tokenizers 0.19.1