update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-finetuned-wls-whisper-5ep
+  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-5ep
+
+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: 1.0709
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4616        | 1.0   | 26   | 1.2511          |
+| 1.2324        | 2.0   | 52   | 1.1991          |
+| 1.157         | 3.0   | 78   | 1.1376          |
+| 1.1137        | 4.0   | 104  | 1.1066          |
+| 1.0555        | 5.0   | 130  | 1.1292          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.14.4
+- Tokenizers 0.13.3