tokeron/TRBLLmaker

Link to the arxiv

Datasets

About Us

Created by Mor Ventura and Michael Toker.

---

tags: - generated_from_trainer metrics: - accuracy model-index: - name: checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32 results: []

checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32

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

• Loss: 2.5896
• Accuracy: 0.4923

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7781	1.01	128	2.6284	0.4875
2.6217	2.02	256	2.6022	0.4908
2.569	3.02	384	2.5928	0.4917

Framework versions

• Transformers 4.18.0.dev0
• Pytorch 1.10.1
• Datasets 1.18.3
• Tokenizers 0.11.6