update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: seq-xls-r-fleurs_nl-run2-asr_af-run10
+  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. -->
+
+# seq-xls-r-fleurs_nl-run2-asr_af-run10
+
+This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_nl-run2](https://huggingface.co/lucas-meyer/xls-r-fleurs_nl-run2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4923
+- Wer: 0.3606
+
+## 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: 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: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.8229        | 1.47  | 250  | 2.7832          | 0.9998 |
+| 1.1565        | 2.93  | 500  | 0.5693          | 0.4932 |
+| 0.3893        | 4.4   | 750  | 0.4765          | 0.4026 |
+| 0.2536        | 5.87  | 1000 | 0.3951          | 0.3669 |
+| 0.1756        | 7.33  | 1250 | 0.4565          | 0.3814 |
+| 0.1384        | 8.8   | 1500 | 0.4923          | 0.3606 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3