update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: asr_en_model
+  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. -->
+
+# asr_en_model
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0593
+- Wer: 0.1522
+
+## 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: 36
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.7979        | 4.5   | 500  | 2.4200          | 0.9999 |
+| 0.5517        | 9.01  | 1000 | 0.0731          | 0.1567 |
+| 0.1188        | 13.51 | 1500 | 0.0645          | 0.1535 |
+| 0.0826        | 18.02 | 2000 | 0.0626          | 0.1528 |
+| 0.0627        | 22.52 | 2500 | 0.0593          | 0.1522 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.13.1+cu117
+- Datasets 1.14.0
+- Tokenizers 0.10.3