update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: w2v2-shallow-bart-5k-1e-3
+  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. -->
+
+# w2v2-shallow-bart-5k-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.2228
+- Wer: 219.0067
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 250
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 5.4271        | 0.2   | 1000 | 5.5063          | 287.8938 |
+| 4.9304        | 1.04  | 2000 | 5.4201          | 198.6618 |
+| 4.6411        | 1.24  | 3000 | 5.2925          | 332.8481 |
+| 4.3797        | 2.09  | 4000 | 5.2913          | 155.6744 |
+| 4.2848        | 2.29  | 5000 | 5.2228          | 219.0067 |
+
+
+### Framework versions
+
+- Transformers 4.25.0.dev0
+- Pytorch 1.11.0
+- Datasets 2.6.1
+- Tokenizers 0.13.2