README.md

metadata

license: mit
tags:
  - generated_from_trainer
model-index:
  - name: jankgpt
    results: []

jankgpt

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

• Loss: 2.8181

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: 0.0005
• 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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.1021	0.08	100	3.0845
3.0967	0.16	200	3.0801
3.0836	0.24	300	3.0788
3.0587	0.32	400	3.0834
3.0541	0.4	500	3.0850
3.0305	0.48	600	3.0981
3.0016	0.55	700	3.1095
2.9926	0.63	800	3.1197
2.9714	0.71	900	3.1251
2.9671	0.79	1000	3.1399
2.9813	0.87	1100	3.1221
3.0625	0.95	1200	3.0943
3.035	1.03	1300	3.0655
2.9603	1.11	1400	3.0517
2.9562	1.19	1500	3.0356
2.927	1.27	1600	3.0243
2.936	1.35	1700	3.0045
2.9404	1.43	1800	2.9877
2.9226	1.51	1900	2.9740
2.9015	1.59	2000	2.9549
2.8955	1.66	2100	2.9432
2.8738	1.74	2200	2.9272
2.8663	1.82	2300	2.9138
2.8515	1.9	2400	2.8980
2.8433	1.98	2500	2.8859
2.7071	2.06	2600	2.8801
2.6697	2.14	2700	2.8721
2.6623	2.22	2800	2.8631
2.6561	2.3	2900	2.8551
2.6604	2.38	3000	2.8465
2.6372	2.46	3100	2.8402
2.6279	2.54	3200	2.8320
2.6209	2.62	3300	2.8264
2.6192	2.69	3400	2.8226
2.605	2.77	3500	2.8204
2.6054	2.85	3600	2.8187
2.6183	2.93	3700	2.8181

Framework versions

• Transformers 4.29.2
• Pytorch 1.13.1+rocm5.2
• Datasets 2.12.0
• Tokenizers 0.13.3