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: 0.3123
+- Wer: 0.0908
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.4937        | 0.28  | 500  | 5.2312          | 0.9660 |
+| 3.821         | 0.56  | 1000 | 4.5810          | 0.9066 |
+| 1.2129        | 0.84  | 1500 | 1.3723          | 0.3928 |
+| 0.6575        | 1.12  | 2000 | 0.6645          | 0.1810 |
+| 0.489         | 1.4   | 2500 | 0.5523          | 0.1479 |
+| 0.3541        | 1.68  | 3000 | 0.4585          | 0.1195 |
+| 0.3573        | 1.96  | 3500 | 0.3859          | 0.1066 |
+| 0.2437        | 2.24  | 4000 | 0.3747          | 0.1015 |
+| 0.1406        | 2.52  | 4500 | 0.3346          | 0.0952 |
+| 0.1468        | 2.8   | 5000 | 0.3123          | 0.0908 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.3
+- Tokenizers 0.11.0