Romance-cleaned-3

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

• Loss: 4.9593

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 1000
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	16	10.0173
No log	2.0	32	9.1598
No log	3.0	48	8.6820
No log	4.0	64	8.3963
No log	5.0	80	8.1259
No log	6.0	96	7.9259
No log	7.0	112	7.6943
No log	8.0	128	7.4803
No log	9.0	144	7.2883
No log	10.0	160	7.1145
No log	11.0	176	6.9568
No log	12.0	192	6.8000
No log	13.0	208	6.6515
No log	14.0	224	6.5033
No log	15.0	240	6.3471
No log	16.0	256	6.2029
No log	17.0	272	6.0583
No log	18.0	288	5.9173
No log	19.0	304	5.7819
No log	20.0	320	5.6710
No log	21.0	336	5.5588
No log	22.0	352	5.4729
No log	23.0	368	5.3980
No log	24.0	384	5.3261
No log	25.0	400	5.2801
No log	26.0	416	5.2317
No log	27.0	432	5.1942
No log	28.0	448	5.1523
No log	29.0	464	5.1235
No log	30.0	480	5.1008
No log	31.0	496	5.0667
No log	32.0	512	5.0472
No log	33.0	528	5.0252
No log	34.0	544	5.0143
No log	35.0	560	5.0049
No log	36.0	576	4.9938
No log	37.0	592	4.9827
No log	38.0	608	4.9719
No log	39.0	624	4.9666
No log	40.0	640	4.9540
No log	41.0	656	4.9549
No log	42.0	672	4.9485
No log	43.0	688	4.9602
No log	44.0	704	4.9464
No log	45.0	720	4.9592
No log	46.0	736	4.9611
No log	47.0	752	4.9558
No log	48.0	768	4.9659
No log	49.0	784	4.9739
No log	50.0	800	4.9593

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1