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: 0.6977
+- Wer: 0.1231
+
+## 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: 3e-05
+- 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: 25.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 6.1467        | 1.68  | 1500  | 6.0558          | 1.3243 |
+| 5.4388        | 3.36  | 3000  | 5.4711          | 1.5604 |
+| 3.3434        | 5.04  | 4500  | 3.4808          | 0.7461 |
+| 1.5259        | 6.73  | 6000  | 2.1931          | 0.3430 |
+| 1.4285        | 8.41  | 7500  | 1.5883          | 0.2784 |
+| 1.0687        | 10.09 | 9000  | 1.2481          | 0.2069 |
+| 0.6425        | 11.77 | 10500 | 1.0507          | 0.1758 |
+| 0.7147        | 13.45 | 12000 | 0.9397          | 0.1584 |
+| 0.5083        | 15.13 | 13500 | 0.8452          | 0.1453 |
+| 0.4287        | 16.82 | 15000 | 0.7915          | 0.1388 |
+| 0.3499        | 18.5  | 16500 | 0.7477          | 0.1315 |
+| 0.3733        | 20.18 | 18000 | 0.7307          | 0.1287 |
+| 0.2609        | 21.86 | 19500 | 0.7061          | 0.1263 |
+| 0.2602        | 23.54 | 21000 | 0.6977          | 0.1231 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.3
+- Tokenizers 0.11.0

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