gpt-neo-125m-cs-finetuning-80000-2

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.1803

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
3.2947	1.0	1024	3.2505
3.1336	2.0	2048	3.1937
3.0474	3.0	3072	3.1803

Framework versions

• Transformers 4.36.2
• Pytorch 1.13.1+cu117
• Datasets 2.14.6
• Tokenizers 0.15.0