rap_phase2_19march_5i_v1

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

• Loss: 0.0179

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: 2e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 21

Training results

Training Loss	Epoch	Step	Validation Loss
0.1239	1.0	2505	0.0716
0.0849	2.0	5010	0.0479
0.0331	3.0	7515	0.1480
0.025	4.0	10020	0.0318
0.0828	5.0	12525	0.0325
0.0533	6.0	15030	0.0291
0.0163	7.0	17535	0.0336
0.0128	8.0	20040	0.0213
0.0124	9.0	22545	0.0179
0.0118	10.0	25050	0.0228
0.0028	11.0	27555	0.0130
0.0056	12.0	30060	0.0143
0.0064	13.0	32565	0.0161
0.0027	14.0	35070	0.0165
0.0083	15.0	37575	0.0189
0.0	16.0	40080	0.0172
0.0003	17.0	42585	0.0175
0.0021	18.0	45090	0.0213
0.0001	19.0	47595	0.0190
0.0	20.0	50100	0.0181
0.0	21.0	52605	0.0179

Framework versions

• Transformers 4.37.0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2