update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+  name: iloko_model
+---
+
+<!-- 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. -->
+
+# iloko_model
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0663
+- Wer: 0.1235
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.4454        | 1.11  | 100  | 3.0569          | 1.0    |
+| 2.6883        | 2.22  | 200  | 2.6725          | 1.0    |
+| 2.6082        | 3.33  | 300  | 2.6133          | 1.0    |
+| 1.7907        | 4.44  | 400  | 1.4020          | 0.9996 |
+| 0.5616        | 5.56  | 500  | 0.2521          | 0.3217 |
+| 0.2554        | 6.67  | 600  | 0.1373          | 0.1981 |
+| 0.1604        | 7.78  | 700  | 0.0904          | 0.1468 |
+| 0.1507        | 8.89  | 800  | 0.0740          | 0.1308 |
+| 0.1012        | 10.0  | 900  | 0.0663          | 0.1235 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.10.0+cu102
+- Datasets 1.13.3
+- Tokenizers 0.10.3