MD5_gpt_neo_v1.3

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: 6.1987
• Rouge1: 0.0630
• Rouge2: 0.0081
• Rougel: 0.0461

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	0.9961	129	4.0786	0.0876	0.0187	0.0674
No log	2.0	259	4.9529	0.0659	0.0125	0.0519
No log	2.9961	388	5.6868	0.0599	0.0090	0.0470
8.7097	4.0	518	6.0029	0.0611	0.0075	0.0446
8.7097	4.9807	645	6.1987	0.0630	0.0081	0.0461

Framework versions

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