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claudiubarbu
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supervised

Text Generation
Transformers
Safetensors
gpt2
trl
sft
Generated from Trainer
text-generation-inference
Model card Files
xet
 Community
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="claudiubarbu/supervised")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("claudiubarbu/supervised")
model = AutoModelForCausalLM.from_pretrained("claudiubarbu/supervised")
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HW2-supervised

This model is a fine-tuned version of openai-community/gpt2 on the piqa dataset.

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: 5e-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

Training results

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.0.0
  • Datasets 2.16.1
  • Tokenizers 0.19.1
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Dataset used to train claudiubarbu/supervised