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fewabu/
5e-05_AmpGPT2

Name: 5e-05_AmpGPT2
Availability: InStock

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5e05_output_dir_clean_df_10-100_noX_100_50_epoch_cluster

This model is a fine-tuned version of nferruz/ProtGPT2 on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	148	5.1495	0.2912
No log	2.0	296	4.6761	0.3383
No log	3.0	444	4.3827	0.3712
4.9816	4.0	592	4.1762	0.3960
4.9816	5.0	740	4.0295	0.4136
4.9816	6.0	888	3.9151	0.4276
3.9068	7.0	1036	3.8298	0.4400
3.9068	8.0	1184	3.7551	0.4500
3.9068	9.0	1332	3.6968	0.4586
3.9068	10.0	1480	3.6389	0.4668
3.3777	11.0	1628	3.5960	0.4743
3.3777	12.0	1776	3.5560	0.4803
3.3777	13.0	1924	3.5380	0.4868
3.0075	14.0	2072	3.4846	0.4914
3.0075	15.0	2220	3.4658	0.4969
3.0075	16.0	2368	3.4555	0.5010
2.7329	17.0	2516	3.4300	0.5053
2.7329	18.0	2664	3.4208	0.5080
2.7329	19.0	2812	3.4250	0.5121
2.7329	20.0	2960	3.3964	0.5147
2.5153	21.0	3108	3.3893	0.5181
2.5153	22.0	3256	3.3914	0.5204
2.5153	23.0	3404	3.3819	0.5229
2.336	24.0	3552	3.3786	0.5247
2.336	25.0	3700	3.3749	0.5267
2.336	26.0	3848	3.3774	0.5287
2.336	27.0	3996	3.3700	0.5303
2.1918	28.0	4144	3.3722	0.5321
2.1918	29.0	4292	3.3729	0.5340
2.1918	30.0	4440	3.3896	0.5350
2.0717	31.0	4588	3.3776	0.5367
2.0717	32.0	4736	3.3842	0.5385
2.0717	33.0	4884	3.3820	0.5399
1.9814	34.0	5032	3.3933	0.5404
1.9814	35.0	5180	3.3861	0.5411
1.9814	36.0	5328	3.3878	0.5425
1.9814	37.0	5476	3.3903	0.5431
1.9049	38.0	5624	3.3848	0.5440
1.9049	39.0	5772	3.3965	0.5447
1.9049	40.0	5920	3.4033	0.5453
1.8441	41.0	6068	3.4074	0.5456
1.8441	42.0	6216	3.4046	0.5462
1.8441	43.0	6364	3.4120	0.5467
1.804	44.0	6512	3.4044	0.5467
1.804	45.0	6660	3.4125	0.5472
1.804	46.0	6808	3.4115	0.5477
1.804	47.0	6956	3.4070	0.5477
1.7744	48.0	7104	3.4203	0.5478
1.7744	49.0	7252	3.4174	0.5479
1.7744	50.0	7400	3.4181	0.5481