MD5_gpt_neo_sanity_v1.0.1

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: 0.5127
• Rouge1: 0.4956
• Rouge2: 0.3272
• Rougel: 0.4733

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
No log	0.9935	77	0.3877	0.488	0.3501	0.488
No log	2.0	155	0.4174	0.4879	0.3282	0.4719
No log	2.9935	232	0.4750	0.4995	0.3211	0.4727
No log	4.0	310	0.5073	0.4948	0.3268	0.4726
No log	4.9677	385	0.5127	0.4956	0.3272	0.4733

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 2.14.4
• Tokenizers 0.19.1