update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- librispeech_asr
+model-index:
+- name: ''
+  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. -->
+
+# 
+
+This model was trained from scratch on the librispeech_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 20.5959
+- Wer: 1.0008
+
+## 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: 0.0001
+- 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: 500
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.4796        | 0.28  | 500  | 10.7690         | 1.0    |
+| 6.2294        | 0.56  | 1000 | 10.5096         | 1.0    |
+| 5.7859        | 0.84  | 1500 | 13.7547         | 1.0017 |
+| 6.0219        | 1.12  | 2000 | 15.4966         | 1.0007 |
+| 5.9142        | 1.4   | 2500 | 18.5919         | 1.0    |
+| 5.6761        | 1.68  | 3000 | 16.9601         | 1.0    |
+| 5.73          | 1.96  | 3500 | 18.9857         | 1.0004 |
+| 4.9793        | 2.24  | 4000 | 18.3202         | 1.0007 |
+| 5.2332        | 2.52  | 4500 | 19.5416         | 1.0008 |
+| 4.9792        | 2.8   | 5000 | 20.5959         | 1.0008 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.3
+- Tokenizers 0.11.0