update model card README.md

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: distilgpt2-finetune-acl22
+  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. -->
+
+# distilgpt2-finetune-acl22
+
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4835
+
+## 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: 256
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.6676        | 1.0   | 9852  | 3.5623          |
+| 3.5959        | 2.0   | 19704 | 3.4995          |
+| 3.5719        | 3.0   | 29556 | 3.4835          |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1
+- Datasets 2.4.0
+- Tokenizers 0.12.1