cricket2

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

• Loss: 3.6281

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	3.9506
No log	2.0	2	3.8728
No log	3.0	3	3.8105
No log	4.0	4	3.7605
No log	5.0	5	3.7202
No log	6.0	6	3.6885
No log	7.0	7	3.6639
No log	8.0	8	3.6458
No log	9.0	9	3.6340
No log	10.0	10	3.6281

Framework versions

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