Se124M_700K_infix_v2

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4988

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.5321	1.0	59092	0.5097
0.5147	2.0	118184	0.5015
0.5065	3.0	177276	0.4988

Framework versions

• PEFT 0.15.1
• Transformers 4.51.3
• Pytorch 2.5.1+cu121
• Datasets 3.5.0
• Tokenizers 0.21.4