update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- librispeech_asr
+model-index:
+- name: wav2vec2-large-xls-r-300m-en-colab
+  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-en-colab
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the librispeech_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7541
+- Wer: 1.0
+- Cer: 0.9877
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
+| No log        | 1.94  | 33   | 2.9905          | 1.0 | 1.0    |
+| No log        | 3.88  | 66   | 2.9023          | 1.0 | 1.0    |
+| No log        | 5.82  | 99   | 2.8788          | 1.0 | 1.0    |
+| 3.7488        | 7.76  | 132  | 2.8624          | 1.0 | 1.0    |
+| 3.7488        | 9.71  | 165  | 2.7541          | 1.0 | 0.9877 |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.11.0+cpu
+- Datasets 1.18.3
+- Tokenizers 0.12.1