update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: hubert-base-libri-pruning-v2-testing4-final
+  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. -->
+
+# hubert-base-libri-pruning-v2-testing4-final
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5133
+- Wer: 0.9962
+
+## 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: 5e-05
+- train_batch_size: 64
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 9.0283        | 1.12  | 500  | 11.2288         | 1.0    |
+| 6.3979        | 2.24  | 1000 | 7.1301          | 0.9999 |
+| 4.2992        | 3.36  | 1500 | 4.9714          | 0.9993 |
+| 3.5827        | 4.48  | 2000 | 4.3086          | 0.9993 |
+| 3.2057        | 5.61  | 2500 | 3.7872          | 0.9991 |
+| 2.8439        | 6.73  | 3000 | 3.2309          | 0.9986 |
+| 2.5046        | 7.85  | 3500 | 2.7973          | 0.9976 |
+| 2.2656        | 8.97  | 4000 | 2.5133          | 0.9962 |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.1
+- Datasets 2.12.1.dev0
+- Tokenizers 0.13.3