generated_from_trainer

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007-microsoft-deberta-v3-base-finetuned-yahoo-80_20k

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss F1 Accuracy Precision Recall System Ram Used System Ram Total Gpu Ram Allocated Gpu Ram Cached Gpu Ram Total Gpu Utilization Disk Space Used Disk Space Total
1.3512 0.15 375 0.9418 0.7160 0.7189 0.7210 0.7189 3.9586 83.4807 2.0903 34.3125 39.5640 42 24.9904 78.1898
0.9581 0.3 750 0.8981 0.7232 0.7298 0.7301 0.7298 3.9108 83.4807 2.0903 34.3125 39.5640 46 24.9906 78.1898
0.9184 0.45 1125 0.8941 0.7248 0.7316 0.7301 0.7316 3.8717 83.4807 2.0903 34.3125 39.5640 46 24.9910 78.1898
0.8716 0.6 1500 0.8481 0.7368 0.7391 0.7414 0.7391 3.9030 83.4807 2.0903 34.3125 39.5640 46 24.9913 78.1898
0.8564 0.75 1875 0.8394 0.7379 0.7440 0.7423 0.7440 3.8964 83.4807 2.0903 34.3125 39.5640 44 24.9915 78.1898
0.8359 0.9 2250 0.8371 0.7347 0.7403 0.7417 0.7403 3.8917 83.4807 2.0903 34.3125 39.5640 48 24.9917 78.1898
0.7896 1.05 2625 0.8277 0.7369 0.7435 0.7461 0.7435 4.1488 83.4807 2.0903 34.3125 39.5640 44 29.8274 78.1898
0.7368 1.2 3000 0.8204 0.7426 0.7473 0.7468 0.7473 4.1447 83.4807 2.0903 34.3125 39.5640 45 29.8276 78.1898
0.72 1.35 3375 0.8199 0.7455 0.7486 0.7467 0.7486 3.9562 83.4807 2.0903 34.3125 39.5640 43 29.8279 78.1898
0.7333 1.5 3750 0.7991 0.7488 0.7524 0.7496 0.7524 3.9475 83.4807 2.0903 34.3125 39.5640 45 29.8282 78.1898
0.7116 1.65 4125 0.8149 0.7470 0.7499 0.7497 0.7499 3.9456 83.4807 2.0903 34.3125 39.5640 43 29.8285 78.1898
0.7177 1.8 4500 0.7880 0.7523 0.7558 0.7529 0.7558 3.9296 83.4807 2.0903 34.3125 39.5640 44 29.8287 78.1898
0.7151 1.95 4875 0.7949 0.7509 0.7540 0.7507 0.7540 3.9427 83.4807 2.0903 34.3125 39.5640 41 29.8294 78.1898
0.657 2.1 5250 0.8097 0.7500 0.7537 0.7506 0.7537 4.1520 83.4807 2.0903 34.3125 39.5640 43 33.9634 78.1898
0.6218 2.25 5625 0.8049 0.7485 0.7528 0.7484 0.7528 4.1390 83.4807 2.0903 34.3125 39.5640 44 33.9635 78.1898
0.6185 2.4 6000 0.8093 0.7511 0.7543 0.7513 0.7543 3.9715 83.4807 2.0903 34.3125 39.5640 42 33.9637 78.1898
0.6271 2.55 6375 0.8019 0.7517 0.7550 0.7521 0.7550 3.9697 83.4807 2.0903 34.3125 39.5640 46 33.9638 78.1898
0.6103 2.7 6750 0.8026 0.7519 0.7554 0.7523 0.7554 3.9622 83.4807 2.0903 34.3125 39.5640 46 33.9639 78.1898
0.6111 2.85 7125 0.8056 0.7507 0.7546 0.7511 0.7546 3.9783 83.4807 2.0903 34.3125 39.5640 41 33.9640 78.1898
0.6015 3.0 7500 0.8060 0.7514 0.7552 0.7512 0.7552 3.9702 83.4807 2.0903 34.3125 39.5640 42 33.9642 78.1898

Framework versions