File size: 2,022 Bytes
bbb722c 4c157ac 2bde72e 3081378 16c7808 3cc8443 9d9ea54 debea42 4bd8d4e 25b4faa a29f512 36bda71 745b97f 2f3d716 2cb0d6f eb83d32 5aeb413 686fa7c 45248f0 4a5b452 c2d5a7f bb137ee 8fee9fc c6b6989 41fde32 f7a96cd 3c7fcf3 b8dd206 15fc6d8 9cb438d 10c488e |
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 |
Started at: 13:11:04
nb-bert-base, 0.001, 256
({'_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: 0.47113645792007447 - MAE: 0.5372690642533006
Validation loss : 0.25360237227545845 - MAE: 0.38100557323888096
Epoch: 1
Training loss: 0.1951601755619049 - MAE: 0.3381085981919985
Validation loss : 0.16845231420463985 - MAE: 0.3146699028671109
Epoch: 2
Training loss: 0.1700725769996643 - MAE: 0.3132894074707096
Validation loss : 0.16252560251288944 - MAE: 0.3101315378266
Epoch: 3
Training loss: 0.16299866735935212 - MAE: 0.30571749229812295
Validation loss : 0.1575031735830837 - MAE: 0.3036086169337241
Epoch: 4
Training loss: 0.16002290964126586 - MAE: 0.3030143814677838
Validation loss : 0.1555153015587065 - MAE: 0.30161708462789844
Epoch: 5
Training loss: 0.15610405176877976 - MAE: 0.2988610182826646
Validation loss : 0.15254790584246317 - MAE: 0.2976352880446658
Epoch: 6
Training loss: 0.15590642750263214 - MAE: 0.2972598594587939
Validation loss : 0.15147964821921456 - MAE: 0.29633871076747587
Epoch: 7
Training loss: 0.15364289730787278 - MAE: 0.2946944064180254
Validation loss : 0.1510375224881702 - MAE: 0.29637298396301465
Epoch: 8
Training loss: 0.1531897461414337 - MAE: 0.29468431902613157
Validation loss : 0.1495788519581159 - MAE: 0.29459826933056066
Epoch: 9
|