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tweet-summarization-gpt-2-finetuned

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metadata
base_model: checkpoint_raw/gpt2
datasets:
  - Salesforce/dialogstudio
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: tweet-summarization-gpt-2-finetuned
    results: []

tweet-summarization-gpt-2-finetuned

This model is a fine-tuned version of gpt2-hf on the Salesforce/dialogstudio dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5758

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.9466 1.0 55 3.5758

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.2
  • Pytorch 2.0.1+cu117
  • Datasets 3.0.1
  • Tokenizers 0.20.1