update model card README.md

README.md

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-Custom ASR trained on common_voice dataset for spanish language
+---
+tags:
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2-large-xls-r-300m-spanish-custom
+  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-large-xls-r-300m-spanish-custom
+
+This model was trained from scratch on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2245
+- eval_wer: 0.2082
+- eval_runtime: 801.6784
+- eval_samples_per_second: 18.822
+- eval_steps_per_second: 2.354
+- epoch: 0.76
+- step: 8400
+
+## 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: 0.0002
+- 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: 200
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.1+cu102
+- Datasets 1.17.1.dev0
+- Tokenizers 0.11.0