BASE_short

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.3241
• Ppl: 28.7555

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 22554
• distributed_type: multi-GPU
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 2000
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Ppl
4.4673	1.25	4000	4.2416	71.9939
3.8603	2.5	8000	3.7253	43.0163
3.638	3.75	12000	3.5322	35.4396
3.5229	5.01	16000	3.4322	32.0556
3.4377	6.26	20000	3.3749	30.2611
3.3972	7.51	24000	3.3411	29.2534
3.3688	8.76	28000	3.3241	28.7555

Framework versions

• Transformers 4.35.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.14.6
• Tokenizers 0.14.1