update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: eng_Emp_reco
+  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. -->
+
+# eng_Emp_reco
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+- Accuracy: {'accuracy': 1.0}
+- F1score: {'f1': 1.0}
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                | F1score                    |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------------:|:--------------------------:|
+| 0.0254        | 1.0   | 320  | 0.0106          | {'accuracy': 0.9984375} | {'f1': 0.9984376713627683} |
+| 0.002         | 2.0   | 640  | 0.0013          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+| 0.0019        | 3.0   | 960  | 0.0006          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+| 0.0019        | 4.0   | 1280 | 0.0004          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+| 0.0003        | 5.0   | 1600 | 0.0063          | {'accuracy': 0.9984375} | {'f1': 0.9984376713627683} |
+| 0.0003        | 6.0   | 1920 | 0.0002          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+| 0.0003        | 7.0   | 2240 | 0.0001          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+| 0.0002        | 8.0   | 2560 | 0.0001          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+| 0.0002        | 9.0   | 2880 | 0.0001          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+| 0.0002        | 10.0  | 3200 | 0.0001          | {'accuracy': 1.0}       | {'f1': 1.0}                |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1