update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+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 None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5575
+- Wer: 0.5219
+
+## 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: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 400
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.3036        | 0.51  | 400  | 4.2199          | 0.9500 |
+| 2.836         | 1.02  | 800  | 2.7748          | 1.2758 |
+| 2.7021        | 1.53  | 1200 | 2.6211          | 1.1725 |
+| 2.2322        | 2.04  | 1600 | 2.5714          | 1.1042 |
+| 2.1435        | 2.55  | 2000 | 2.4205          | 1.0093 |
+| 1.1205        | 3.06  | 2400 | 2.7612          | 0.9098 |
+| 0.7821        | 3.57  | 2800 | 2.2900          | 0.8478 |
+| 1.0018        | 4.08  | 3200 | 0.7970          | 0.6275 |
+| 0.6312        | 4.59  | 3600 | 0.5575          | 0.5219 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.0+cu113
+- Datasets 1.18.1
+- Tokenizers 0.11.0