File size: 2,661 Bytes
45dcbce bcdf6e5 d41ee57 cd44060 403a17f e66ae0f df0717b fe09190 b748117 5cd17a9 14bef3e 27fedd6 8cba533 f7e2668 df22987 5596678 3e0d44f a132e2e 300d2d3 3d4e48f 0303da1 0e9d41e bf99401 63edb27 d1343d7 713ed25 120e232 39a5abc 54ae285 3f7e270 be28ecc 3fa88f2 07b596c b290acc 2a1db6c 61f6a2d 037bf85 deb66e5 8cf9cba abfbeae 7df8448 57ca92a 357bb31 83ffacf 67f0c27 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
Started at: 14:40:19 ({'_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: 1.2811461687088013 - MAE: 1.0408094668466794 Validation loss : 1.3419398069381714 - MAE: 1.0652254769721856 Epoch: 1 Training loss: 0.7854926586151123 - MAE: 0.7721470455473632 Validation loss : 0.8864973783493042 - MAE: 0.8435096881137445 Epoch: 2 Training loss: 0.4843243956565857 - MAE: 0.5272605160349294 Validation loss : 0.5820499062538147 - MAE: 0.6337268329583682 Epoch: 3 Training loss: 0.41485145688056946 - MAE: 0.4802625859156251 Validation loss : 0.421680212020874 - MAE: 0.4904769934140719 Epoch: 4 Training loss: 0.48013365268707275 - MAE: 0.5623592561797092 Validation loss : 0.35784491896629333 - MAE: 0.4395319429727701 Epoch: 5 Training loss: 0.5700742602348328 - MAE: 0.62281050650697 Validation loss : 0.3381924331188202 - MAE: 0.4468093950014848 Epoch: 6 Training loss: 0.5534572601318359 - MAE: 0.6398394494072387 Validation loss : 0.3276384174823761 - MAE: 0.4481881180634865 Epoch: 7 Training loss: 0.5136637687683105 - MAE: 0.6030835897514695 Validation loss : 0.3143889605998993 - MAE: 0.4345858062689121 Epoch: 8 Training loss: 0.4339531362056732 - MAE: 0.5305713756304038 Validation loss : 0.30018025636672974 - MAE: 0.41813509395489323 Epoch: 9 Training loss: 0.3681242763996124 - MAE: 0.4937124432701814 Validation loss : 0.28909191489219666 - MAE: 0.4049994842364238 Epoch: 10 Training loss: 0.28562891483306885 - MAE: 0.4289360728703047 Validation loss : 0.2845577895641327 - MAE: 0.39556940358418685 Epoch: 11 Training loss: 0.22621430456638336 - MAE: 0.3758177969016527 Validation loss : 0.28580838441848755 - MAE: 0.3986670867754863 Epoch: 12 Training loss: 0.23422713577747345 - MAE: 0.38526535191034017 Validation loss : 0.28847622871398926 - MAE: 0.40267336712433743 Epoch: 13 Training loss: 0.22982938587665558 - MAE: 0.35741449578812245 Validation loss : 0.28796255588531494 - MAE: 0.4020649595902516 Epoch: 14 |