| Started at: 09:30:12 | |
| ({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.21533221261281715 - MSE: 0.34197339416593503 | |
| Validation loss : 0.14451597188599408 - MSE: 0.2960304229995927 | |
| Epoch: 1 | |
| Training loss: 0.1517588474640721 - MSE: 0.2956301456982305 | |
| Validation loss : 0.12380113103426993 - MSE: 0.26862038821082024 | |
| Epoch: 2 | |
| Training loss: 0.14443182972700971 - MSE: 0.28899192076676716 | |
| Validation loss : 0.12112187955062836 - MSE: 0.2663072116915828 | |
| Epoch: 3 | |
| Training loss: 0.14475514602504277 - MSE: 0.29038970057934027 | |
| Validation loss : 0.13478531874716282 - MSE: 0.2850182042234337 | |
| Epoch: 4 | |
| Training loss: 0.1408511215134671 - MSE: 0.2861137754569417 | |
| Validation loss : 0.13267319882288575 - MSE: 0.2831877799249014 | |
| Epoch: 5 | |
| Training loss: 0.136032929232246 - MSE: 0.279424393321389 | |
| Validation loss : 0.11587779759429395 - MSE: 0.2579734090027159 | |
| Epoch: 6 | |
| Training loss: 0.1351911084432351 - MSE: 0.2779842455851462 | |
| Validation loss : 0.11928518384229392 - MSE: 0.25956903308497203 | |
| Epoch: 7 | |
| Training loss: 0.14176342871628309 - MSE: 0.28619337123151156 | |
| Validation loss : 0.11641600204166025 - MSE: 0.2570362210167332 | |
| Epoch: 8 | |
| Training loss: 0.13039547287319836 - MSE: 0.2738442464898942 | |
| Validation loss : 0.11378515849355608 - MSE: 0.2556338147619499 | |
| Epoch: 9 | |
| Training loss: 0.13758943127958398 - MSE: 0.2815961984005678 | |
| Validation loss : 0.11927694408223033 - MSE: 0.2592867935668437 | |
| Epoch: 10 | |
| Training loss: 0.13600184517471414 - MSE: 0.27845210879496773 | |
| Validation loss : 0.12289933965075761 - MSE: 0.2641740314788876 | |
| Epoch: 11 | |
| Training loss: 0.12924143111235217 - MSE: 0.27266305881012975 | |
| Validation loss : 0.11782969336491078 - MSE: 0.258937672893353 | |
| Epoch: 12 | |
| Training loss: 0.1344190981827284 - MSE: 0.28026616499269114 | |
| Validation loss : 0.11472726217471063 - MSE: 0.25845796944440735 | |
| Epoch: 13 | |
| Training loss: 0.1375312733414926 - MSE: 0.28103011966626457 | |
| Validation loss : 0.11630514287389815 - MSE: 0.25740234173235876 | |
| Epoch: 14 | |
| Training loss: 0.13571442161735736 - MSE: 0.2811562022346792 | |
| Validation loss : 0.11639386380556971 - MSE: 0.2606048270604333 | |
| Epoch: 15 | |
| Training loss: 0.14136280589982084 - MSE: 0.286976132520683 | |
| Validation loss : 0.12002589798066765 - MSE: 0.26447004281317277 | |
| Epoch: 16 | |
| Training loss: 0.13457591416020143 - MSE: 0.2796572462970741 | |
| Validation loss : 0.11478170729242265 - MSE: 0.2548193569305113 | |
| Epoch: 17 | |
| Training loss: 0.1362821259780934 - MSE: 0.28092215080945243 | |
| Validation loss : 0.11653975711669773 - MSE: 0.25721588885744495 | |
| Epoch: 18 | |
| Training loss: 0.1377105382320128 - MSE: 0.28347960023660485 | |
| Validation loss : 0.1213059100555256 - MSE: 0.2660068857726401 | |
| Epoch: 19 | |
| Training loss: 0.13346115291902894 - MSE: 0.2807079509831734 | |
| Validation loss : 0.11323059559799731 - MSE: 0.2554361889847314 | |
| Epoch: 20 | |
| Training loss: 0.1303498934758337 - MSE: 0.27570483001616874 | |
| Validation loss : 0.11533307109493762 - MSE: 0.25642082826334445 | |
| Epoch: 21 | |
| Training loss: 0.1338770524843743 - MSE: 0.2793606339234174 | |
| Validation loss : 0.12536148354411125 - MSE: 0.2694582264007295 | |
| Epoch: 22 | |
| Training loss: 0.13188404574206 - MSE: 0.2766540656590396 | |
| Validation loss : 0.13748734653927386 - MSE: 0.2803560604293125 | |
| Epoch: 23 | |
| Training loss: 0.13104969533650498 - MSE: 0.2743808910846676 | |
| Validation loss : 0.1219000396085903 - MSE: 0.2662790239332935 | |