gpt-neo-1.3B-cs-finetuning-7

This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5065

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
2.6057	1.0	1330	2.5252
2.1447	2.0	2660	2.4739
1.8436	3.0	3990	2.5065

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.1
• Datasets 2.12.0
• Tokenizers 0.15.1