update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- go_emotions
+metrics:
+- f1
+- accuracy
+model-index:
+- name: go_emo_gpt
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: go_emotions
+      type: go_emotions
+      config: simplified
+      split: validation
+      args: simplified
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.5677001388246182
+    - name: Accuracy
+      type: accuracy
+      value: 0.4480280132694434
+---
+
+<!-- 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. -->
+
+# go_emo_gpt
+
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the go_emotions dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0902
+- F1: 0.5677
+- Roc Auc: 0.7357
+- Accuracy: 0.4480
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 4341
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.0907        | 1.0   | 21705 | 0.0902          | 0.5677 | 0.7357  | 0.4480   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3