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  1. train_seq_tagger:
  2. cmd: python train_seq_tagger.py
  3. deps:
  4. - path: data
  5. md5: b6c25155a35cd5738fe6644b95256c9d.dir
  6. - path: models/
  7. md5: 25d31f10ee51b6eb6aa7c4087a555c7e.dir
  8. - path: train_seq_tagger.py
  9. md5: df46af910c1afe743fefad6f539ad5eb
  10. params:
  11. params/seqtag_params.yaml:
  12. corpus:
  13. columns:
  14. 0: text
  15. 1: ner
  16. 2: space-after
  17. data_folder: ./data/
  18. train_file: train.txt
  19. test_file: test.txt
  20. dev_file: dev.txt
  21. embeddings:
  22. flair-backward: ./models/best-flair-backward.pt
  23. fasttext: ./models/fasttext_jurinet_jurica_01012020_01072020_anonym.gensim
  24. seqtagger:
  25. hidden_size: 32
  26. rnn_layers: 1
  27. use_crf: false
  28. dropout: 0.0
  29. word_dropout: 0.05
  30. reproject_embeddings: true
  31. train_initial_hidden_state: false
  32. train:
  33. base_path: ./outputs/models/vanilla/
  34. learning_rate: 0.01
  35. mini_batch_size: 5
  36. max_epochs: 16
  37. anneal_factor: 0.5
  38. embeddings_storage_mode: cpu
  39. patience: 2
  40. min_learning_rate: 0.1
  41. train_with_dev: false
  42. monitor_train: false
  43. monitor_test: true
  44. checkpoint: false
  45. save_final_model: true
  46. shuffle: true
  47. trainer:
  48. epoch: 8
  49. use_tensorboard: true
  50. type:
  51. is_fresh_start: false
  52. run_name: run3
  53. outs:
  54. - path: metrics/loss.tsv
  55. md5: 6e24feb505365b62438281a2242c8b8c
  56. - path: metrics/seqtag_metrics.json
  57. md5: 65d7230ba2b62172453d31af09c95323
  58. - path: outputs/
  59. md5: 4d2c56dd652de109ee94d289d6054522.dir
  60. - path: tensorboard/
  61. md5: 5c1621a9770564167c10deae2903130e.dir
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