GSM8K_Main_DistilGPT2

This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.1837

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: 32
• eval_batch_size: 32
• seed: 42
• 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
No log	1.0	1	3.2749
No log	2.0	2	3.2384
No log	3.0	3	3.2112
No log	4.0	4	3.1927
No log	5.0	5	3.1837

Framework versions

• Transformers 4.43.3
• Pytorch 2.4.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1