distilgpt2-CLM-DSM

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4049

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: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	91	2.6265
No log	2.0	182	2.5381
No log	3.0	273	2.4948
No log	4.0	364	2.4634
No log	5.0	455	2.4436
2.6065	6.0	546	2.4276
2.6065	7.0	637	2.4176
2.6065	8.0	728	2.4103
2.6065	9.0	819	2.4061
2.6065	10.0	910	2.4049

Framework versions

• Transformers 4.41.2
• Pytorch 2.2.1
• Datasets 2.19.2
• Tokenizers 0.19.1