calculator_model_test

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

• Loss: 0.3798

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: 0.001
• train_batch_size: 512
• eval_batch_size: 512
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss
2.8946	1.0	41	2.3454
2.1015	2.0	82	1.9329
1.8297	3.0	123	1.6538
1.4394	4.0	164	1.2883
1.2328	5.0	205	1.1711
1.1398	6.0	246	1.0309
1.0575	7.0	287	0.9585
0.9607	8.0	328	0.9029
0.8955	9.0	369	0.8200
0.8318	10.0	410	0.7741
0.7961	11.0	451	0.7525
0.7713	12.0	492	0.7437
0.7477	13.0	533	0.6924
0.7197	14.0	574	0.6796
0.6971	15.0	615	0.6514
0.6734	16.0	656	0.6209
0.6593	17.0	697	0.6080
0.6396	18.0	738	0.5799
0.6208	19.0	779	0.5706
0.6004	20.0	820	0.5619
0.5805	21.0	861	0.5368
0.5765	22.0	902	0.5237
0.5591	23.0	943	0.5110
0.5462	24.0	984	0.5035
0.5345	25.0	1025	0.4991
0.5208	26.0	1066	0.4734
0.5064	27.0	1107	0.4680
0.4989	28.0	1148	0.4560
0.4892	29.0	1189	0.4560
0.4821	30.0	1230	0.4438
0.4726	31.0	1271	0.4383
0.4659	32.0	1312	0.4314
0.453	33.0	1353	0.4122
0.4466	34.0	1394	0.4115
0.4393	35.0	1435	0.3996
0.4315	36.0	1476	0.4007
0.4266	37.0	1517	0.3949
0.4219	38.0	1558	0.3878
0.416	39.0	1599	0.3816
0.4133	40.0	1640	0.3798

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2