gpt2-evy

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

• Loss: 0.5637

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: 2
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	31	1.1270
No log	2.0	62	0.9170
No log	3.0	93	0.8410
1.3727	4.0	124	0.7949
1.3727	5.0	155	0.7361
1.3727	6.0	186	0.7021
0.9077	7.0	217	0.6789
0.9077	8.0	248	0.6490
0.9077	9.0	279	0.6346
0.7106	10.0	310	0.6219
0.7106	11.0	341	0.5986
0.7106	12.0	372	0.5797
0.5814	13.0	403	0.5835
0.5814	14.0	434	0.5872
0.5814	15.0	465	0.5741
0.5814	16.0	496	0.5749
0.4916	17.0	527	0.5662
0.4916	18.0	558	0.5529
0.4916	19.0	589	0.5672
0.4005	20.0	620	0.5646
0.4005	21.0	651	0.5701
0.4005	22.0	682	0.5650
0.357	23.0	713	0.5637

Framework versions

• Transformers 4.41.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1