readme: ---
  language:
    - en
  license: apache-2.0
  tags:
    - reddit
  datasets:
    - georeactor/reddit_one_ups_seq2seq_2014
  ---
  
  # t5-reddit-2014
  
  T5-small model fine-tuned on Reddit "One-Ups" / "Clapbacks" dataset. Each reply from
  the fine-tuning has a vote-score 1.5x or higher than the parent comment.
  
  From a few tests it seems to have adopted a snarky tone. Common reply is "I'm not a shit."
  
  ## Process
  
  Training notebook: https://github.com/Georeactor/reddit-one-ups/blob/main/training-models/t5-seq2seq-2014.ipynb
  
  - Started with [t5-small](https://huggingface.co/t5-small) so I could run it on CoLab.
  - Fine-tuned on first 80% of [georeactor/reddit_one_ups_seq2seq_2014](https://huggingface.co/datasets/georeactor/reddit_one_ups_seq2seq_2014) for one epoch, batch size = 2.
  - Loss did not move much during this epoch.
  - Future experiments should use a larger model, larger batch size (could easily have done batch_size = 4 on CoLab), full dataset if we are not worried about eval.
  
  ## Inference
  
  ```
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  model = AutoModelForSeq2SeqLM.from_pretrained('georeactor/t5-reddit-2014')
  tokenizer = AutoTokenizer.from_pretrained('georeactor/t5-reddit-2014')
  
  input = tokenizer.encode('Looks like a potato bug', return_tensors="pt")
  output = model.generate(input, max_length=256)
  tokenizer.decode(output[0])
  ```
  