update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: wolof
+  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. -->
+
+# wolof
+
+This model is a fine-tuned version of [LeBenchmark/wav2vec2-FR-2.6K-base](https://huggingface.co/LeBenchmark/wav2vec2-FR-2.6K-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2816
+- Wer: 0.3897
+
+## 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: 0.0001
+- train_batch_size: 20
+- 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: 1000
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.9468        | 1.67  | 1500 | 0.7036          | 0.6418 |
+| 0.5506        | 3.33  | 3000 | 0.4129          | 0.5018 |
+| 0.3817        | 5.0   | 4500 | 0.3414          | 0.4519 |
+| 0.2885        | 6.67  | 6000 | 0.3181          | 0.4305 |
+| 0.2275        | 8.33  | 7500 | 0.2920          | 0.4011 |
+| 0.1852        | 10.0  | 9000 | 0.2816          | 0.3897 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu102
+- Datasets 2.1.0
+- Tokenizers 0.12.1