MD5_gpt_neo_v1.1.3

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: 0.0538
• Rouge1: 0.5076
• Rouge2: 0.2548
• Rougel: 0.4743

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	1.0	70	0.0628	0.4870	0.2269	0.4475
No log	2.0	140	0.0566	0.4913	0.2367	0.4607
No log	3.0	210	0.0545	0.4972	0.2484	0.4667
No log	4.0	280	0.0544	0.5023	0.2586	0.4749
No log	5.0	350	0.0538	0.5076	0.2548	0.4743

Framework versions

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