encode-chrombpnet-DNASE-IMR-90-ENCSR477RTP-ENCSR137OLC / fold_0 /logs.models.fold_0.ENCSR477RTP /logfile.modelling.fold_0.ENCSR477RTP.epoch_loss.csv
Download fold_0/logs.models.fold_0.ENCSR477RTP/logfile.modelling.fold_0.ENCSR477RTP.epoch_loss.csv from kundajelab/encode-chrombpnet-DNASE-IMR-90-ENCSR477RTP-ENCSR137OLC: direct link, hf CLI and curl.
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- Download file 2.49 kB
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https://huggingface.co/kundajelab/encode-chrombpnet-DNASE-IMR-90-ENCSR477RTP-ENCSR137OLC/resolve/main/fold_0/logs.models.fold_0.ENCSR477RTP/logfile.modelling.fold_0.ENCSR477RTP.epoch_loss.csv
- Command line
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hf download hf://kundajelab/encode-chrombpnet-DNASE-IMR-90-ENCSR477RTP-ENCSR137OLC/fold_0/logs.models.fold_0.ENCSR477RTP/logfile.modelling.fold_0.ENCSR477RTP.epoch_loss.csv
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curl -L -o logfile.modelling.fold_0.ENCSR477RTP.epoch_loss.csv https://huggingface.co/kundajelab/encode-chrombpnet-DNASE-IMR-90-ENCSR477RTP-ENCSR137OLC/resolve/main/fold_0/logs.models.fold_0.ENCSR477RTP/logfile.modelling.fold_0.ENCSR477RTP.epoch_loss.csv
2.49 kB
| epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss | |
| 0,2.36081862449646,1024.955810546875,1110.6536865234375,0.9228897094726562,949.9011840820312,983.4014892578125 | |
| 1,0.9378743767738342,909.8756103515625,943.9202880859375,0.908261775970459,924.898681640625,957.8685302734375 | |
| 2,0.8772934079170227,885.7786254882812,917.6246948242188,0.8253834247589111,916.8577270507812,946.81982421875 | |
| 3,0.8208042979240417,869.205322265625,898.999755859375,0.896165132522583,883.10498046875,915.6359252929688 | |
| 4,0.7866407036781311,857.525634765625,886.0816040039062,0.7839406728744507,901.3137817382812,929.771240234375 | |
| 5,0.7481053471565247,848.0175170898438,875.1749267578125,0.797709584236145,878.8732299804688,907.8310546875 | |
| 6,0.7289121747016907,840.7615966796875,867.2218627929688,0.7338500618934631,908.245849609375,934.8845825195312 | |
| 7,0.7033974528312683,835.8005981445312,861.3342895507812,0.696614682674408,878.4534912109375,903.741455078125 | |
| 8,0.6837701797485352,829.1824340820312,854.0049438476562,0.8710271716117859,902.4674072265625,934.0856323242188 | |
| 9,0.6692531108856201,825.6909790039062,849.9849853515625,0.7176713943481445,881.388427734375,907.4400634765625 | |
| 10,0.6469809412956238,820.1629028320312,843.6484375,0.8112457394599915,899.7501220703125,929.1990356445312 | |
| 11,0.6361223459243774,818.55615234375,841.6470947265625,0.7070728540420532,876.7806396484375,902.447021484375 | |
| 12,0.6232866048812866,813.2492065429688,835.8749389648438,0.8414981365203857,866.789306640625,897.3355712890625 | |
| 13,0.6093498468399048,811.759033203125,833.8780517578125,0.6901822686195374,905.4171142578125,930.4708251953125 | |
| 14,0.6054900288581848,810.3917236328125,832.370849609375,0.6869939565658569,902.1517333984375,927.08935546875 | |
| 15,0.586696207523346,806.67724609375,827.9739379882812,0.7043761014938354,902.5206909179688,928.0895385742188 | |
| 16,0.5765056014060974,804.2066040039062,825.1329345703125,0.7091099619865417,897.9326171875,923.6732788085938 | |
| 17,0.5679818391799927,801.0684204101562,821.6868286132812,0.7826361656188965,876.4459838867188,904.8560791015625 | |
| 18,0.5567213892936707,798.9693603515625,819.1776123046875,0.7383026480674744,895.3870239257812,922.187255859375 | |
| 19,0.5495975017547607,797.493896484375,817.4443969726562,0.6897009015083313,900.112060546875,925.1483154296875 | |
| 20,0.5361814498901367,795.716064453125,815.1793823242188,0.6989282369613647,892.9661254882812,918.3367919921875 | |