DS_turtle_BART_base_bart-base | celian-ringwald Overview – Weights & Biases

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Group: DS_turtle_BART_base_bart-base

1-5

of 5

Tags

Notes

Author

celian-ringwald

State

Finished

Start time

February 1st, 2024 3:16:30 AM

Runtime

46m 58s

Tracked hours

46m 53s

Run path

celian-ringwald/12ShadesOfRDF/sf6p1emk

OS

Linux-3.10.0-1160.42.2.el7.x86_64-x86_64-with-glibc2.17

Python version

3.11.5

Command

/home/cringwald/EXP_env/./src/train_withShape.py model=bart_base_model data=Azzzura_DS_turtle_bart train=bart_dbpedia

System Hardware

CPU count	32
Logical CPU count	32
GPU count	1
GPU type	Tesla V100-SXM2-32GB

W&B CLI Version

0.15.11

Group

DS_turtle_BART_base_bart-base

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 108 keys
- adafactor:
  false
- adam_beta1:
  0.9
- adam_beta2:
  0.999
- adam_epsilon:
  0.00000001
- add_vocab:
  true
- amp_level:
  null
- apply_early_stopping:
  true
- attention_dropout:
  null
- cache_dir:
  null
- checkpoint_path:
  null
- classifier:
  false
- config_name:
  "facebook/bart-base"
- dataloader_drop_last:
  false
- dataloader_num_workers:
  2
- dataloader_pin_memory:
  true
- dataset_name:
  "/home/cringwald/EXP_env/datasets/bart_dbpedia.py"
- datatype:
  true
- decoder_layerdrop:
  null
- deepspeed:
  null
- disable_tqdm:
  null
- do_eval:
  true
- do_predict:
  true
- do_train:
  true
- dropout:
  0.1
- eval_accumulation_steps:
  null
- eval_batch_size:
  8
- eval_beams:
  3
- eval_steps:
  null
- evaluation_strategy:
  "no"
- facto:
  true
- finetune:
  false
- fp16_backend:
  "auto"
- fp16_opt_level:
  "O1"
- gpus:
  1
- gradient_acc_steps:
  8
- gradient_accumulation_steps:
  1
- gradient_clip_value:
  10
- greater_is_better:
  false
- group_by_length:
  false
- ignore_data_skip:
  false
- ignore_pad_token_for_loss:
  true
- inline_mode:
  false
- label_names:
  null
- label_smoothing:
  0
- label_smoothing_factor:
  0
- learning_rate:
  0.00005
- val_percent_check:
  1
- validation_file:
  "/workspace/cringwald/exp4out/BART/SPLITTED/DS_turtle_val.json"
- warmup_steps:
  100
- weight_decay:
  0.01

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 26 keys
- epoch:
  14
- loss:
  0.00000738732614991022
- lr-AdamW/pg1:
  0.00001195570249647026
- lr-AdamW/pg2:
  0.00001195570249647026
- test_BLEU:
  1
- test_dist_edit:
  NaN
- test_F1_macro:
  99.97515527950311
- test_F1_micro:
  99.98631286621094
- test_loss:
  0.00009823880100157112
- test_part_parsed:
  1
- test_part_subj_ok:
  0.9990000128746032
- test_part_valid:
  1
- test_prec_macro:
  99.95039682539684
- test_recall_macro:
  100
- trainer/global_step:
  1,750
- Triplets:
  "table-file"
- val_BLEU:
  0.6327333450317383
- val_dist_edit:
  NaN
- val_F1_macro:
  85.30064039647574
- val_F1_micro:
  99.21839141845705
- val_loss:
  0.0073708598501980305
- val_part_parsed:
  1
- val_part_subj_ok:
  1
- val_part_valid:
  1
- val_prec_macro:
  97.4072249589491
- val_recall_macro:
  81.80451127819549

This run produced these artifacts as outputs. Total: 12. Learn more

run-sf6p1emk-history:v0

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