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
+  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
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: -7567.2393
+- Wer: 0.4152
+
+## 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: 0.00015
+- 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: 3000
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| -14.3764      | 1.12  | 500   | -47.0110        | 0.5199 |
+| -106.5551     | 2.24  | 1000  | -189.6375       | 0.4788 |
+| -290.9837     | 3.36  | 1500  | -427.6701       | 0.4637 |
+| -566.8718     | 4.48  | 2000  | -760.7963       | 0.4523 |
+| -932.8283     | 5.61  | 2500  | -1188.8673      | 0.4457 |
+| -1393.9495    | 6.73  | 3000  | -1711.7064      | 0.4362 |
+| -1926.4679    | 7.85  | 3500  | -2267.1279      | 0.4336 |
+| -2446.4408    | 8.97  | 4000  | -2795.6897      | 0.4307 |
+| -2944.8128    | 10.09 | 4500  | -3294.3000      | 0.4279 |
+| -3416.905     | 11.21 | 5000  | -3766.8943      | 0.4254 |
+| -3865.4817    | 12.33 | 5500  | -4211.6885      | 0.4219 |
+| -4285.8215    | 13.45 | 6000  | -4628.7329      | 0.4223 |
+| -4660.695     | 14.57 | 6500  | -5017.9912      | 0.4184 |
+| -5032.002     | 15.7  | 7000  | -5379.4785      | 0.4213 |
+| -5351.629     | 16.82 | 7500  | -5713.4419      | 0.4186 |
+| -5659.1765    | 17.94 | 8000  | -6019.7510      | 0.4195 |
+| -5957.58      | 19.06 | 8500  | -6296.5054      | 0.4189 |
+| -6215.3305    | 20.18 | 9000  | -6547.0381      | 0.4165 |
+| -6441.2955    | 21.3  | 9500  | -6770.7163      | 0.4172 |
+| -6651.3045    | 22.42 | 10000 | -6966.9087      | 0.4160 |
+| -6811.32      | 23.54 | 10500 | -7135.6860      | 0.4155 |
+| -6964.2775    | 24.66 | 11000 | -7277.1060      | 0.4171 |
+| -7115.7955    | 25.78 | 11500 | -7390.9673      | 0.4156 |
+| -7187.0235    | 26.91 | 12000 | -7477.7656      | 0.4151 |
+| -7259.9035    | 28.03 | 12500 | -7535.0112      | 0.4148 |
+| -7302.289     | 29.15 | 13000 | -7567.2393      | 0.4152 |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.1
+- Datasets 2.12.1.dev0
+- Tokenizers 0.13.3