update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- elsevier-oa-cc-by
+model-index:
+- name: roberta-base-finetuned-academic
+  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-academic
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the elsevier-oa-cc-by dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1727
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.2926        | 1.0   | 4104  | 2.1632          |
+| 2.2602        | 2.0   | 8208  | 2.1571          |
+| 2.2536        | 3.0   | 12312 | 2.1520          |
+| 2.2596        | 4.0   | 16416 | 2.1513          |
+| 2.265         | 5.0   | 20520 | 2.1650          |
+
+
+### Framework versions
+
+- Transformers 4.19.0.dev0
+- Pytorch 1.11.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1