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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+- distilgpt2
+- email generation
+- email
+datasets:
+- aeslc
+- postbot/multi-emails-100k
+
+widget:
+- text: "Good Morning Professor Beans,
+
+Hope you are doing well. I just wanted to reach out and ask if differential calculus will be on the exam"
+  example_title: "email to prof"
+- text: "Hey <NAME>,\n\nThank you for signing up for my weekly newsletter. Before we get started, you'll have to confirm your email address." 
+  example_title: "newsletter"
+- text: "Hi <NAME>,\n\nI hope this email finds you well. I wanted to reach out and ask about office hours" 
+  example_title: "office hours"
+- text: "Greetings <NAME>,\n\nI hope you had a splendid evening at the Company sausage eating festival. I am reaching out because" 
+  example_title: "festival"
+- text: "Good Morning Harold,\n\nI was wondering when the next" 
+  example_title: "event"
+- text: "URGENT - I need the TPS reports"
+  example_title: "URGENT"
+- text: "Hi Archibald,\n\nI hope this email finds you extremely well." 
+  example_title: "emails that find you"
+- text: "Hello there.\n\nI just wanted to reach out and check in to"
+  example_title: "checking in"
+- text: "Hello <NAME>,\n\nI hope this email finds you well. I wanted to reach out and see if you've enjoyed your time with us"
+  example_title: "work well"
+- text: "Hi <NAME>,\n\nI hope this email finds you well. I wanted to reach out and see if we could catch up"
+  example_title: "catch up"
+- text: "I'm <NAME> and I just moved into the area and wanted to reach out and get some details on where I could get groceries and"
+  example_title: "grocery"
+parameters:
+  min_length: 4
+  max_length: 128
+  length_penalty: 0.8
+  no_repeat_ngram_size: 2
+  do_sample: False
+  num_beams: 8
+  early_stopping: True
+  repetition_penalty: 5.5
+---
+
+
+# distilgpt2-emailgen: V2
+
+
+[![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/pszemraj/d1c2d88b6120cca4ca7df078ea1d1e50/scratchpad.ipynb)
+
+Why write the rest of your email when you can generate it?
+
+```python
+from transformers import pipeline
+
+model_tag = "postbot/distilgpt2-emailgen-V2"
+generator = pipeline(
+              'text-generation', 
+              model=model_tag, 
+            )
+            
+prompt = """
+Hello, 
+
+Following up on the bubblegum shipment."""
+
+result = generator(
+    prompt,
+    max_length=64,
+    do_sample=False,
+    early_stopping=True,
+) # generate
+print(result[0]['generated_text'])
+```
+
+## Model description
+
+This model is a fine-tuned version of `distilgpt2` on the postbot/multi-emails-100k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9126
+
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters (run 1/2)
+
+TODO
+
+### Training hyperparameters (run 2/2)
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0006
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9045        | 1.0   | 789  | 2.0006          |
+| 1.8115        | 2.0   | 1578 | 1.9557          |
+| 1.8501        | 3.0   | 2367 | 1.9110          |
+| 1.7376        | 4.0   | 3156 | 1.9126          |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.10.0+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_postbot__distilgpt2-emailgen-V2)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 24.59   |
+| ARC (25-shot)         | 20.99          |
+| HellaSwag (10-shot)   | 26.78    |
+| MMLU (5-shot)         | 25.53         |
+| TruthfulQA (0-shot)   | 46.51   |
+| Winogrande (5-shot)   | 52.01   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 0.31         |

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