MD5_gpt_neo_v1.2

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: 3.3814
• Rouge1: 0.0840
• Rouge2: 0.0
• Rougel: 0.0695

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	0.9091	5	7.9635	0.0288	0.0	0.0231
No log	2.0	11	5.3680	0.0328	0.0	0.0258
No log	2.9091	16	4.0323	0.0856	0.0	0.0776
No log	4.0	22	3.4255	0.0840	0.0	0.0696
No log	4.5455	25	3.3814	0.0840	0.0	0.0695

Framework versions

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