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: 1.1277
+- Wer: 1.0334
+
+## 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: 0.0003
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.7015        | 0.28  | 500  | 5.3313          | 1.9454 |
+| 4.7239        | 0.56  | 1000 | 5.1316          | 1.9288 |
+| 4.6686        | 0.84  | 1500 | 4.8812          | 1.9646 |
+| 4.0138        | 1.12  | 2000 | 4.8274          | 1.8905 |
+| 3.6314        | 1.4   | 2500 | 3.8913          | 1.7298 |
+| 1.9511        | 1.68  | 3000 | 2.3486          | 1.3674 |
+| 1.212         | 1.96  | 3500 | 1.6223          | 1.1877 |
+| 0.8092        | 2.24  | 4000 | 1.3949          | 1.1049 |
+| 0.497         | 2.52  | 4500 | 1.2544          | 1.0749 |
+| 0.4401        | 2.8   | 5000 | 1.1277          | 1.0334 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.3
+- Tokenizers 0.11.0