update model card README.md

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-finetuned-wls-whisper-8ep
+  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. -->
+
+# roberta-base-finetuned-wls-whisper-8ep
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0840
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.461         | 1.0   | 26   | 1.2521          |
+| 1.231         | 2.0   | 52   | 1.2105          |
+| 1.1867        | 3.0   | 78   | 1.1645          |
+| 1.1347        | 4.0   | 104  | 1.1235          |
+| 1.0661        | 5.0   | 130  | 1.1472          |
+| 1.089         | 6.0   | 156  | 1.0720          |
+| 1.0168        | 7.0   | 182  | 1.1341          |
+| 1.03          | 8.0   | 208  | 1.0483          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.14.4
+- Tokenizers 0.13.3