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: 1.7494
+- Wer: 1.0532
+
+## 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: 4
+- 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: 1000
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 3.4828        | 2.8   | 2500  | 4.0554          | 1.7873 |
+| 0.8683        | 5.61  | 5000  | 2.5401          | 1.3156 |
+| 0.4394        | 8.41  | 7500  | 1.7519          | 1.1129 |
+| 0.0497        | 11.21 | 10000 | 1.7102          | 1.0738 |
+| 0.031         | 14.01 | 12500 | 1.7395          | 1.0512 |
+| 0.0508        | 16.82 | 15000 | 1.7254          | 1.0463 |
+| 0.0462        | 19.62 | 17500 | 1.7494          | 1.0532 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.3
+- Tokenizers 0.11.0

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