distilgpt2-starter

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

• Loss: 6.0234

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: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 500.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	66.67	200	3.6445
No log	133.33	400	4.5703
1.0101	200.0	600	5.2109
1.0101	266.67	800	5.5430
0.0681	333.33	1000	5.7227
0.0681	400.0	1200	5.8672
0.0681	466.67	1400	5.9961

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 1.18.1
• Tokenizers 0.11.0