MD5_gpt_neo_v1.1.1

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

• Loss: 0.5658
• Rouge1: 0.4856
• Rouge2: 0.3287
• Rougel: 0.4662

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
No log	0.9935	77	0.4256	0.4794	0.3497	0.4794
No log	2.0	155	0.4503	0.4916	0.3557	0.4727
No log	2.9935	232	0.5194	0.4864	0.3525	0.4780
No log	4.0	310	0.5605	0.4845	0.3240	0.4620
No log	4.9677	385	0.5658	0.4856	0.3287	0.4662

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1