Triangles/gpt-neo-125m-finetuned-philosopher_rave_10

gpt-neo-125m-finetuned-philosopher_rave

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the Triangles/philosopher dataset. It achieves the following results on the evaluation set:

• Loss: 2.9098

Model description

Trained for 10 epochs

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: 3e-07
• 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: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	155	3.0789
No log	2.0	310	3.0298
No log	3.0	465	2.9946
3.0535	4.0	620	2.9683
3.0535	5.0	775	2.9484
3.0535	6.0	930	2.9334
2.9563	7.0	1085	2.9224
2.9563	8.0	1240	2.9150
2.9563	9.0	1395	2.9108
2.9115	10.0	1550	2.9098

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2