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BohanJiang
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eli5_dir

Text Generation
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gpt2
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text-generation-inference
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="BohanJiang/eli5_dir")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BohanJiang/eli5_dir")
model = AutoModelForCausalLM.from_pretrained("BohanJiang/eli5_dir", device_map="auto")
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eli5_dir

This model is a fine-tuned version of gpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5573

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
3.6991 1.0 1314 3.5643
3.5819 2.0 2628 3.5568
3.5421 3.0 3942 3.5573

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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