update model card README.md

README.md

@@ -1,17 +1,58 @@
 ---
-language:
-- en
+license: apache-2.0
 tags:
-- text-generation
+- generated_from_trainer
 datasets:
 - Langame/starter
-widget:
-- text: "ice breaker,travel ###"
-  example_title: "Ice breaker"
-- text: "philosophy,science,physic,mathematic,biology ###"
-  example_title: "Scientific"
-- text: "big talk,deep talk ###"
-  example_title: "Big talk"
+model-index:
+- name: distilgpt2-starter
+  results: []
 ---
 
-# Generate conversation starters, from [Langame](https://langa.me) :p
+<!-- 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-starter
+
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the Langame/starter dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3145
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.1
+- Tokenizers 0.11.0