scenario-KD-SCR-MSV-CL-D2_data-cl-massive_all_1_155

This model is a fine-tuned version of haryoaw/scenario-MDBT-TCR_data-cl-massive_all_1_1 on the massive dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.0315
• F1: 0.0010

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 55
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0	0.56	5000	nan	0.0315	0.0010
0.0	1.11	10000	nan	0.0315	0.0010
0.0	1.67	15000	nan	0.0315	0.0010
0.0	2.22	20000	nan	0.0315	0.0010
0.0	2.78	25000	nan	0.0315	0.0010
0.0	3.33	30000	nan	0.0315	0.0010
0.0	3.89	35000	nan	0.0315	0.0010
0.0	4.45	40000	nan	0.0315	0.0010
0.0	5.0	45000	nan	0.0315	0.0010
0.0	5.56	50000	nan	0.0315	0.0010
0.0	6.11	55000	nan	0.0315	0.0010
0.0	6.67	60000	nan	0.0315	0.0010
0.0	7.23	65000	nan	0.0315	0.0010
0.0	7.78	70000	nan	0.0315	0.0010
0.0	8.34	75000	nan	0.0315	0.0010
0.0	8.89	80000	nan	0.0315	0.0010
0.0	9.45	85000	nan	0.0315	0.0010
0.0	10.0	90000	nan	0.0315	0.0010
0.0	10.56	95000	nan	0.0315	0.0010
0.0	11.12	100000	nan	0.0315	0.0010
0.0	11.67	105000	nan	0.0315	0.0010
0.0	12.23	110000	nan	0.0315	0.0010
0.0	12.78	115000	nan	0.0315	0.0010
0.0	13.34	120000	nan	0.0315	0.0010
0.0	13.9	125000	nan	0.0315	0.0010
0.0	14.45	130000	nan	0.0315	0.0010
0.0	15.01	135000	nan	0.0315	0.0010
0.0	15.56	140000	nan	0.0315	0.0010
0.0	16.12	145000	nan	0.0315	0.0010
0.0	16.67	150000	nan	0.0315	0.0010
0.0	17.23	155000	nan	0.0315	0.0010
0.0	17.79	160000	nan	0.0315	0.0010
0.0	18.34	165000	nan	0.0315	0.0010
0.0	18.9	170000	nan	0.0315	0.0010
0.0	19.45	175000	nan	0.0315	0.0010
0.0	20.01	180000	nan	0.0315	0.0010
0.0	20.56	185000	nan	0.0315	0.0010
0.0	21.12	190000	nan	0.0315	0.0010
0.0	21.68	195000	nan	0.0315	0.0010
0.0	22.23	200000	nan	0.0315	0.0010
0.0	22.79	205000	nan	0.0315	0.0010
0.0	23.34	210000	nan	0.0315	0.0010
0.0	23.9	215000	nan	0.0315	0.0010
0.0	24.46	220000	nan	0.0315	0.0010
0.0	25.01	225000	nan	0.0315	0.0010
0.0	25.57	230000	nan	0.0315	0.0010
0.0	26.12	235000	nan	0.0315	0.0010
0.0	26.68	240000	nan	0.0315	0.0010
0.0	27.23	245000	nan	0.0315	0.0010
0.0	27.79	250000	nan	0.0315	0.0010
0.0	28.35	255000	nan	0.0315	0.0010
0.0	28.9	260000	nan	0.0315	0.0010
0.0	29.46	265000	nan	0.0315	0.0010

Framework versions

• Transformers 4.33.3
• Pytorch 2.1.1+cu121
• Datasets 2.14.5
• Tokenizers 0.13.3