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trainerL

Text Classification
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distilbert
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End of training

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Files changed (8) hide show
  1. README.md +82 -25
  2. config.json +4 -3
  3. model.safetensors +2 -2
  4. runs/Mar23_13-52-36_3015ac71de9b/events.out.tfevents.1711202013.3015ac71de9b.221.8 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +1 -3
  7. training_args.bin +2 -2
  8. vocab.txt +0 -0
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # trainerL
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.6821
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- - Precision: 0.6504
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- - Recall: 0.6310
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- - F1: 0.6292
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- - Accuracy: 0.6310
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  ## Model description
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@@ -55,28 +55,85 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0 | 0.28 | 15 | 4.7222 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 0.57 | 30 | 4.7349 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 0.85 | 45 | 4.7393 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 1.13 | 60 | 4.7156 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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- | 0.0 | 1.42 | 75 | 4.7066 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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- | 0.0 | 1.7 | 90 | 4.7169 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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- | 0.0 | 1.98 | 105 | 4.6991 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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- | 0.0 | 2.26 | 120 | 4.6971 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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- | 0.0 | 2.55 | 135 | 4.6570 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 2.83 | 150 | 4.6596 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 3.11 | 165 | 4.6646 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 3.4 | 180 | 4.6775 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 3.68 | 195 | 4.6758 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 3.96 | 210 | 4.6771 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 4.25 | 225 | 4.6797 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 4.53 | 240 | 4.6813 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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- | 0.0 | 4.81 | 255 | 4.6821 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
81
  - Datasets 2.18.0
82
  - Tokenizers 0.15.2
 
1
  ---
2
  license: apache-2.0
3
+ base_model: distilbert-base-cased
4
  tags:
5
  - generated_from_trainer
6
  metrics:
 
18
 
19
  # trainerL
20
 
21
+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.1346
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+ - Precision: 0.8284
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+ - Recall: 0.8235
26
+ - F1: 0.8240
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+ - Accuracy: 0.8235
28
 
29
  ## Model description
30
 
 
55
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.7821 | 0.07 | 15 | 0.8793 | 0.7615 | 0.6975 | 0.6719 | 0.6975 |
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+ | 0.588 | 0.14 | 30 | 0.7151 | 0.8020 | 0.7759 | 0.7700 | 0.7759 |
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+ | 0.4638 | 0.2 | 45 | 0.6870 | 0.7940 | 0.7787 | 0.7765 | 0.7787 |
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+ | 0.5218 | 0.27 | 60 | 0.8146 | 0.7686 | 0.7283 | 0.7267 | 0.7283 |
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+ | 0.6686 | 0.34 | 75 | 0.6981 | 0.7978 | 0.7759 | 0.7758 | 0.7759 |
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+ | 0.5512 | 0.41 | 90 | 0.7200 | 0.7698 | 0.7423 | 0.7394 | 0.7423 |
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+ | 0.5709 | 0.47 | 105 | 0.6853 | 0.7978 | 0.7843 | 0.7827 | 0.7843 |
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+ | 0.5019 | 0.54 | 120 | 0.6668 | 0.8201 | 0.8151 | 0.8151 | 0.8151 |
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+ | 0.3757 | 0.61 | 135 | 0.6816 | 0.8097 | 0.7983 | 0.7991 | 0.7983 |
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+ | 0.4634 | 0.68 | 150 | 0.6682 | 0.8079 | 0.7899 | 0.7911 | 0.7899 |
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+ | 0.4107 | 0.74 | 165 | 0.7132 | 0.7975 | 0.7843 | 0.7821 | 0.7843 |
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+ | 0.5346 | 0.81 | 180 | 0.7647 | 0.7978 | 0.7703 | 0.7689 | 0.7703 |
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+ | 0.3629 | 0.88 | 195 | 0.7391 | 0.7925 | 0.7731 | 0.7732 | 0.7731 |
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+ | 0.3951 | 0.95 | 210 | 0.8193 | 0.8081 | 0.7927 | 0.7931 | 0.7927 |
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+ | 0.3729 | 1.01 | 225 | 0.8174 | 0.8081 | 0.7899 | 0.7876 | 0.7899 |
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+ | 0.1666 | 1.08 | 240 | 0.7480 | 0.7890 | 0.7843 | 0.7852 | 0.7843 |
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+ | 0.3315 | 1.15 | 255 | 0.8574 | 0.7918 | 0.7787 | 0.7782 | 0.7787 |
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+ | 0.1392 | 1.22 | 270 | 0.8227 | 0.8192 | 0.8039 | 0.8034 | 0.8039 |
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+ | 0.2186 | 1.28 | 285 | 0.8934 | 0.8208 | 0.8123 | 0.8121 | 0.8123 |
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+ | 0.2085 | 1.35 | 300 | 0.7850 | 0.8356 | 0.8263 | 0.8278 | 0.8263 |
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+ | 0.2709 | 1.42 | 315 | 0.9394 | 0.8115 | 0.8039 | 0.8024 | 0.8039 |
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+ | 0.1109 | 1.49 | 330 | 0.8446 | 0.8126 | 0.8039 | 0.8024 | 0.8039 |
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+ | 0.1927 | 1.55 | 345 | 1.0934 | 0.7690 | 0.7535 | 0.7521 | 0.7535 |
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+ | 0.1932 | 1.62 | 360 | 0.8842 | 0.8197 | 0.8179 | 0.8169 | 0.8179 |
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+ | 0.139 | 1.69 | 375 | 0.9567 | 0.8103 | 0.8039 | 0.8044 | 0.8039 |
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+ | 0.1989 | 1.76 | 390 | 0.9964 | 0.7918 | 0.7815 | 0.7827 | 0.7815 |
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+ | 0.1533 | 1.82 | 405 | 1.0390 | 0.7849 | 0.7703 | 0.7692 | 0.7703 |
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+ | 0.2209 | 1.89 | 420 | 1.0088 | 0.8096 | 0.8039 | 0.8039 | 0.8039 |
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+ | 0.1777 | 1.96 | 435 | 1.1335 | 0.7974 | 0.7843 | 0.7859 | 0.7843 |
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+ | 0.1449 | 2.03 | 450 | 0.9708 | 0.8071 | 0.8011 | 0.8003 | 0.8011 |
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+ | 0.212 | 2.09 | 465 | 1.0755 | 0.8066 | 0.7899 | 0.7889 | 0.7899 |
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+ | 0.0637 | 2.16 | 480 | 0.9715 | 0.8159 | 0.8123 | 0.8111 | 0.8123 |
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+ | 0.0571 | 2.23 | 495 | 1.1385 | 0.7922 | 0.7871 | 0.7862 | 0.7871 |
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+ | 0.005 | 2.3 | 510 | 1.1527 | 0.8012 | 0.7955 | 0.7952 | 0.7955 |
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+ | 0.0419 | 2.36 | 525 | 1.1564 | 0.8056 | 0.7983 | 0.7995 | 0.7983 |
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+ | 0.0054 | 2.43 | 540 | 1.1604 | 0.8103 | 0.8011 | 0.8021 | 0.8011 |
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+ | 0.1335 | 2.5 | 555 | 1.0291 | 0.8274 | 0.8235 | 0.8240 | 0.8235 |
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+ | 0.0137 | 2.57 | 570 | 1.1099 | 0.8299 | 0.8207 | 0.8211 | 0.8207 |
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+ | 0.0514 | 2.64 | 585 | 1.1275 | 0.8211 | 0.8151 | 0.8158 | 0.8151 |
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+ | 0.0742 | 2.7 | 600 | 1.0709 | 0.8282 | 0.8235 | 0.8240 | 0.8235 |
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+ | 0.0401 | 2.77 | 615 | 1.0292 | 0.8230 | 0.8207 | 0.8211 | 0.8207 |
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+ | 0.0838 | 2.84 | 630 | 1.0180 | 0.8242 | 0.8207 | 0.8207 | 0.8207 |
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+ | 0.0191 | 2.91 | 645 | 0.9939 | 0.8386 | 0.8347 | 0.8349 | 0.8347 |
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+ | 0.1275 | 2.97 | 660 | 1.0027 | 0.8268 | 0.8235 | 0.8236 | 0.8235 |
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+ | 0.0076 | 3.04 | 675 | 1.0779 | 0.8301 | 0.8235 | 0.8229 | 0.8235 |
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+ | 0.0581 | 3.11 | 690 | 1.0325 | 0.8257 | 0.8207 | 0.8204 | 0.8207 |
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+ | 0.0072 | 3.18 | 705 | 1.0599 | 0.8184 | 0.8151 | 0.8147 | 0.8151 |
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+ | 0.0442 | 3.24 | 720 | 1.1332 | 0.8107 | 0.8039 | 0.8040 | 0.8039 |
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+ | 0.001 | 3.31 | 735 | 1.1529 | 0.8029 | 0.7955 | 0.7955 | 0.7955 |
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+ | 0.0367 | 3.38 | 750 | 1.0967 | 0.8162 | 0.8123 | 0.8120 | 0.8123 |
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+ | 0.0052 | 3.45 | 765 | 1.1101 | 0.8175 | 0.8123 | 0.8124 | 0.8123 |
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+ | 0.0093 | 3.51 | 780 | 1.0600 | 0.8183 | 0.8123 | 0.8133 | 0.8123 |
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+ | 0.0079 | 3.58 | 795 | 1.0572 | 0.8191 | 0.8123 | 0.8136 | 0.8123 |
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+ | 0.0019 | 3.65 | 810 | 1.0715 | 0.8263 | 0.8207 | 0.8218 | 0.8207 |
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+ | 0.009 | 3.72 | 825 | 1.1091 | 0.8271 | 0.8207 | 0.8217 | 0.8207 |
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+ | 0.0063 | 3.78 | 840 | 1.1287 | 0.8254 | 0.8179 | 0.8189 | 0.8179 |
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+ | 0.0118 | 3.85 | 855 | 1.1054 | 0.8148 | 0.8095 | 0.8101 | 0.8095 |
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+ | 0.0148 | 3.92 | 870 | 1.1412 | 0.8190 | 0.8123 | 0.8128 | 0.8123 |
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+ | 0.0207 | 3.99 | 885 | 1.1313 | 0.8199 | 0.8123 | 0.8131 | 0.8123 |
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+ | 0.0011 | 4.05 | 900 | 1.1114 | 0.8283 | 0.8235 | 0.8238 | 0.8235 |
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+ | 0.0008 | 4.12 | 915 | 1.1179 | 0.8312 | 0.8263 | 0.8264 | 0.8263 |
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+ | 0.0012 | 4.19 | 930 | 1.1181 | 0.8277 | 0.8235 | 0.8235 | 0.8235 |
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+ | 0.0008 | 4.26 | 945 | 1.1248 | 0.8253 | 0.8207 | 0.8210 | 0.8207 |
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+ | 0.0587 | 4.32 | 960 | 1.1230 | 0.8306 | 0.8263 | 0.8265 | 0.8263 |
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+ | 0.0018 | 4.39 | 975 | 1.1217 | 0.8342 | 0.8291 | 0.8296 | 0.8291 |
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+ | 0.0125 | 4.46 | 990 | 1.1278 | 0.8316 | 0.8263 | 0.8269 | 0.8263 |
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+ | 0.0021 | 4.53 | 1005 | 1.1358 | 0.8316 | 0.8263 | 0.8269 | 0.8263 |
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+ | 0.0007 | 4.59 | 1020 | 1.1398 | 0.8266 | 0.8207 | 0.8211 | 0.8207 |
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+ | 0.0308 | 4.66 | 1035 | 1.1394 | 0.8316 | 0.8263 | 0.8269 | 0.8263 |
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+ | 0.0011 | 4.73 | 1050 | 1.1385 | 0.8316 | 0.8263 | 0.8269 | 0.8263 |
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+ | 0.0011 | 4.8 | 1065 | 1.1362 | 0.8284 | 0.8235 | 0.8240 | 0.8235 |
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+ | 0.0007 | 4.86 | 1080 | 1.1351 | 0.8284 | 0.8235 | 0.8240 | 0.8235 |
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+ | 0.0006 | 4.93 | 1095 | 1.1350 | 0.8284 | 0.8235 | 0.8240 | 0.8235 |
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+ | 0.0016 | 5.0 | 1110 | 1.1346 | 0.8284 | 0.8235 | 0.8240 | 0.8235 |
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133
 
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  ### Framework versions
135
 
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+ - Transformers 4.39.1
137
  - Pytorch 2.2.1+cu121
138
  - Datasets 2.18.0
139
  - Tokenizers 0.15.2
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "distilbert-base-uncased",
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  "activation": "gelu",
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  "architectures": [
5
  "DistilBertForSequenceClassification"
@@ -31,6 +31,7 @@
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  "model_type": "distilbert",
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  "n_heads": 12,
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  "n_layers": 6,
 
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  "pad_token_id": 0,
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  "problem_type": "single_label_classification",
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  "qa_dropout": 0.1,
@@ -38,6 +39,6 @@
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  "sinusoidal_pos_embds": false,
39
  "tie_weights_": true,
40
  "torch_dtype": "float32",
41
- "transformers_version": "4.38.2",
42
- "vocab_size": 30522
43
  }
 
1
  {
2
+ "_name_or_path": "distilbert-base-cased",
3
  "activation": "gelu",
4
  "architectures": [
5
  "DistilBertForSequenceClassification"
 
31
  "model_type": "distilbert",
32
  "n_heads": 12,
33
  "n_layers": 6,
34
+ "output_past": true,
35
  "pad_token_id": 0,
36
  "problem_type": "single_label_classification",
37
  "qa_dropout": 0.1,
 
39
  "sinusoidal_pos_embds": false,
40
  "tie_weights_": true,
41
  "torch_dtype": "float32",
42
+ "transformers_version": "4.39.1",
43
+ "vocab_size": 28996
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  }
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tokenizer_config.json CHANGED
@@ -43,11 +43,9 @@
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  },
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  "cls_token": "[CLS]",
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- "do_basic_tokenize": true,
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- "do_lower_case": true,
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  "clean_up_tokenization_spaces": true,
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