distilroberta-rbm231k-ep20-op40

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

• Loss: 1.1240

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: 7.3e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.19
• num_epochs: 40
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.696	1.0	14644	1.5458
1.5919	2.0	29288	1.4527
1.5345	3.0	43932	1.4052
1.4921	4.0	58576	1.3763
1.4798	5.0	73220	1.3612
1.464	6.0	87864	1.3492
1.4498	7.0	102508	1.3409
1.448	8.0	117152	1.3355
1.4262	9.0	131796	1.3213
1.4175	10.0	146440	1.3096
1.3851	11.0	161084	1.2963
1.3728	12.0	175728	1.2846
1.3601	13.0	190372	1.2739
1.351	14.0	205016	1.2639
1.3406	15.0	219660	1.2555
1.3214	16.0	234304	1.2454
1.31	17.0	248948	1.2372
1.3117	18.0	263592	1.2317
1.2947	19.0	278236	1.2267
1.2858	20.0	292880	1.2162
1.2804	21.0	307524	1.2092
1.2708	22.0	322168	1.2064
1.2635	23.0	336812	1.1974
1.253	24.0	351456	1.1926
1.2463	25.0	366100	1.1832
1.2399	26.0	380744	1.1817
1.2328	27.0	395388	1.1752
1.2292	28.0	410032	1.1710
1.2197	29.0	424676	1.1672
1.2101	30.0	439320	1.1618
1.2029	31.0	453964	1.1551
1.2007	32.0	468608	1.1515
1.1932	33.0	483252	1.1438
1.1884	34.0	497896	1.1406
1.1835	35.0	512540	1.1364
1.1762	36.0	527184	1.1344
1.174	37.0	541828	1.1315
1.1675	38.0	556472	1.1267
1.1699	39.0	571116	1.1230
1.1629	40.0	585760	1.1274

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0