update model card README.md

README.md

@@ -0,0 +1,60 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-finetuned-schizophreniaReddit2
+  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-schizophreniaReddit2
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7785
+
+## 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: 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 490  | 1.8093          |
+| 1.9343        | 2.0   | 980  | 1.7996          |
+| 1.8856        | 3.0   | 1470 | 1.7966          |
+| 1.8552        | 4.0   | 1960 | 1.7844          |
+| 1.8267        | 5.0   | 2450 | 1.7839          |
+
+
+### Framework versions
+
+- Transformers 4.14.1
+- Pytorch 1.10.0+cu111
+- Datasets 1.16.1
+- Tokenizers 0.10.3