cricket

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

• Loss: 2.2938

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: 0.0002
• 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	3.3173
No log	2.0	2	2.6299
No log	3.0	3	2.3821
No log	4.0	4	2.2974
No log	5.0	5	2.2894
No log	6.0	6	2.2968
No log	7.0	7	2.2920
No log	8.0	8	2.2950
No log	9.0	9	2.2973
No log	10.0	10	2.2938

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2