tinystories_upsampled_tom – Dataset by ptsv | AlphaNeural AI

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tinystories_upsampled_tom

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tinystories_upsampled_tom

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

Loss: 1.6461

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: 32
eval_batch_size: 8
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: linear
lr_scheduler_warmup_steps: 1
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.8989	0.1051	400	1.8900
1.8563	0.2102	800	1.8378
1.8476	0.3153	1200	1.7993
1.8063	0.4204	1600	1.7859
1.7846	0.5255	2000	1.7627
1.7625	0.6306	2400	1.7536
1.7617	0.7357	2800	1.7368
1.7527	0.8408	3200	1.7257
1.7714	0.9459	3600	1.7172
1.6993	1.0510	4000	1.7162
1.6844	1.1561	4400	1.7071
1.6898	1.2612	4800	1.7007
1.6678	1.3663	5200	1.6925
1.7036	1.4714	5600	1.6887
1.6849	1.5765	6000	1.6817
1.6781	1.6816	6400	1.6764
1.6228	1.7867	6800	1.6712
1.6467	1.8918	7200	1.6679
1.6672	1.9969	7600	1.6619
1.6092	2.1020	8000	1.6652
1.6181	2.2071	8400	1.6615
1.6183	2.3122	8800	1.6566
1.6101	2.4173	9200	1.6573
1.6009	2.5224	9600	1.6515
1.6002	2.6275	10000	1.6520
1.6387	2.7326	10400	1.6497
1.6401	2.8377	10800	1.6477
1.6186	2.9428	11200	1.6466

Framework versions

Transformers 4.44.1
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.19.1