PiyushLavaniya/Pythia-410m-4000_steps

instruction_finetuned_4000_steps

This model is a fine-tuned version of PiyushLavaniya/Pythia-410m-1200_steps on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1724

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
1.3084	0.01	120	1.2513
1.2838	0.02	240	1.2586
1.6928	0.03	360	1.2545
1.026	0.04	480	1.2530
1.2245	0.05	600	1.2526
1.3283	0.06	720	1.2527
1.1885	0.07	840	1.2428
1.3262	0.08	960	1.2439
1.4632	0.09	1080	1.2399
1.4186	0.1	1200	1.2345
0.9493	0.11	1320	1.2343
1.4698	0.12	1440	1.2253
0.7633	0.13	1560	1.2262
1.1568	0.14	1680	1.2237
1.5223	0.15	1800	1.2190
1.7801	0.16	1920	1.2147
1.2809	0.17	2040	1.2099
1.2552	0.18	2160	1.2073
1.1965	0.19	2280	1.2035
1.205	0.21	2400	1.2026
1.2114	0.22	2520	1.1997
1.344	0.23	2640	1.1945
1.3919	0.24	2760	1.1916
1.4231	0.25	2880	1.1888
1.2136	0.26	3000	1.1859
0.8669	0.27	3120	1.1849
1.3909	0.28	3240	1.1823
1.2214	0.29	3360	1.1801
1.238	0.3	3480	1.1780
1.4586	0.31	3600	1.1757
1.0247	0.32	3720	1.1744
1.0334	0.33	3840	1.1731
1.2078	0.34	3960	1.1724

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1