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