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model_2_stage2-seed_2025

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Training in progress, epoch 2

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  1. README.md +26 -27
  2. model.safetensors +1 -1
  3. runs/Jun04_17-49-28_model2-stage2-0-0/events.out.tfevents.1749062030.model2-stage2-0-0.1.5 +3 -0
  4. runs/Jun04_21-00-28_model2-stage2-fp16false-0-0/events.out.tfevents.1749070840.model2-stage2-fp16false-0-0.1.0 +3 -0
  5. runs/Jun04_21-00-29_model2-stage2-nodatacoll-0-0/events.out.tfevents.1749070838.model2-stage2-nodatacoll-0-0.1.0 +3 -0
  6. runs/Jun04_21-01-22_model2-stage2-nodatacoll-0-1/events.out.tfevents.1749070904.model2-stage2-nodatacoll-0-1.1.0 +3 -0
  7. runs/Jun04_21-01-25_model2-stage2-fp16false-0-1/events.out.tfevents.1749070895.model2-stage2-fp16false-0-1.1.0 +3 -0
  8. runs/Jun04_21-02-15_model2-stage2-nodatacoll-0-2/events.out.tfevents.1749070944.model2-stage2-nodatacoll-0-2.1.0 +3 -0
  9. runs/Jun04_21-02-22_model2-stage2-fp16false-0-2/events.out.tfevents.1749070954.model2-stage2-fp16false-0-2.1.0 +3 -0
  10. runs/Jun04_21-03-05_model2-stage2-nodatacoll-0-3/events.out.tfevents.1749070996.model2-stage2-nodatacoll-0-3.1.0 +3 -0
  11. runs/Jun04_21-03-12_model2-stage2-fp16false-0-3/events.out.tfevents.1749071001.model2-stage2-fp16false-0-3.1.0 +3 -0
  12. runs/Jun04_21-04-02_model2-stage2-fp16false-0-4/events.out.tfevents.1749071048.model2-stage2-fp16false-0-4.1.0 +3 -0
  13. runs/Jun04_21-04-06_model2-stage2-nodatacoll-0-4/events.out.tfevents.1749071053.model2-stage2-nodatacoll-0-4.1.0 +3 -0
  14. runs/Jun04_21-04-41_model2-stage2-fp16false-0-5/events.out.tfevents.1749071090.model2-stage2-fp16false-0-5.1.0 +3 -0
  15. runs/Jun04_21-04-42_model2-stage2-nodatacoll-0-5/events.out.tfevents.1749071090.model2-stage2-nodatacoll-0-5.1.0 +3 -0
  16. runs/Jun04_21-05-25_model2-stage2-fp16false-0-6/events.out.tfevents.1749071134.model2-stage2-fp16false-0-6.1.0 +3 -0
  17. runs/Jun04_21-05-27_model2-stage2-nodatacoll-0-6/events.out.tfevents.1749071133.model2-stage2-nodatacoll-0-6.1.0 +3 -0
  18. runs/Jun04_21-10-04_model2-stage2-fp16false-0-0/events.out.tfevents.1749071411.model2-stage2-fp16false-0-0.1.0 +3 -0
  19. runs/Jun04_21-11-30_model2-stage2-fp16false-0-1/events.out.tfevents.1749071495.model2-stage2-fp16false-0-1.1.0 +3 -0
  20. runs/Jun04_21-12-37_model2-stage2-fp16false-0-2/events.out.tfevents.1749071563.model2-stage2-fp16false-0-2.1.0 +3 -0
  21. runs/Jun04_21-13-47_model2-stage2-fp16false-0-3/events.out.tfevents.1749071633.model2-stage2-fp16false-0-3.1.0 +3 -0
  22. runs/Jun04_21-14-50_model2-stage2-fp16false-0-4/events.out.tfevents.1749071696.model2-stage2-fp16false-0-4.1.0 +3 -0
  23. runs/Jun04_21-15-59_model2-stage2-fp16false-0-5/events.out.tfevents.1749071765.model2-stage2-fp16false-0-5.1.0 +3 -0
  24. runs/Jun04_21-17-03_model2-stage2-fp16false-0-6/events.out.tfevents.1749071829.model2-stage2-fp16false-0-6.1.0 +3 -0
  25. runs/Jun04_21-23-12_model2-stage2-0-0/events.out.tfevents.1749072198.model2-stage2-0-0.1.0 +3 -0
  26. runs/Jun04_21-23-12_model2-stage2-0-0/events.out.tfevents.1749073272.model2-stage2-0-0.1.1 +3 -0
  27. runs/Jun04_21-41-12_model2-stage2-0-0/events.out.tfevents.1749073273.model2-stage2-0-0.1.2 +3 -0
  28. runs/Jun04_21-41-12_model2-stage2-0-0/events.out.tfevents.1749074373.model2-stage2-0-0.1.3 +3 -0
  29. runs/Jun04_21-59-33_model2-stage2-0-0/events.out.tfevents.1749074374.model2-stage2-0-0.1.4 +3 -0
  30. tokenizer.json +1 -8
  31. training_args.bin +1 -1
README.md CHANGED
@@ -9,21 +9,21 @@ metrics:
9
  - recall
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  - f1
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  model-index:
12
- - name: model_2_stage2-seed_2025
13
  results: []
14
  ---
15
 
16
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
  should probably proofread and complete it, then remove this comment. -->
18
 
19
- # model_2_stage2-seed_2025
20
 
21
  This model is a fine-tuned version of [maud-dr/model_2_stage1](https://huggingface.co/maud-dr/model_2_stage1) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: nan
24
- - Precision: 0.0
25
- - Recall: 0.0
26
- - F1: 0.0
27
 
28
  ## Model description
29
 
@@ -43,33 +43,32 @@ More information needed
43
 
44
  The following hyperparameters were used during training:
45
  - learning_rate: 0.0003
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- - train_batch_size: 16
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- - eval_batch_size: 16
48
- - seed: 2025
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
51
  - num_epochs: 15
52
- - mixed_precision_training: Native AMP
53
 
54
  ### Training results
55
 
56
- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
57
- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|
58
- | 0.0 | 1.0 | 224 | nan | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 2.0 | 448 | nan | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 3.0 | 672 | nan | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 4.0 | 896 | nan | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 5.0 | 1120 | nan | 0.0 | 0.0 | 0.0 |
63
- | 0.0 | 6.0 | 1344 | nan | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 7.0 | 1568 | nan | 0.0 | 0.0 | 0.0 |
65
- | 0.0 | 8.0 | 1792 | nan | 0.0 | 0.0 | 0.0 |
66
- | 0.0 | 9.0 | 2016 | nan | 0.0 | 0.0 | 0.0 |
67
- | 0.0 | 10.0 | 2240 | nan | 0.0 | 0.0 | 0.0 |
68
- | 0.0 | 11.0 | 2464 | nan | 0.0 | 0.0 | 0.0 |
69
- | 0.0 | 12.0 | 2688 | nan | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 13.0 | 2912 | nan | 0.0 | 0.0 | 0.0 |
71
- | 0.0 | 14.0 | 3136 | nan | 0.0 | 0.0 | 0.0 |
72
- | 0.0 | 15.0 | 3360 | nan | 0.0 | 0.0 | 0.0 |
73
 
74
 
75
  ### Framework versions
 
9
  - recall
10
  - f1
11
  model-index:
12
+ - name: model_2_stage2-seed_123
13
  results: []
14
  ---
15
 
16
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
  should probably proofread and complete it, then remove this comment. -->
18
 
19
+ # model_2_stage2-seed_123
20
 
21
  This model is a fine-tuned version of [maud-dr/model_2_stage1](https://huggingface.co/maud-dr/model_2_stage1) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 2.7954
24
+ - Precision: 0.6352
25
+ - Recall: 0.7319
26
+ - F1: 0.6801
27
 
28
  ## Model description
29
 
 
43
 
44
  The following hyperparameters were used during training:
45
  - learning_rate: 0.0003
46
+ - train_batch_size: 8
47
+ - eval_batch_size: 8
48
+ - seed: 123
49
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
51
  - num_epochs: 15
 
52
 
53
  ### Training results
54
 
55
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
56
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
57
+ | 0.5075 | 1.0 | 447 | 0.6591 | 0.6296 | 0.6159 | 0.6227 |
58
+ | 0.4241 | 2.0 | 894 | 0.8133 | 0.6012 | 0.7536 | 0.6688 |
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+ | 0.3651 | 3.0 | 1341 | 0.8972 | 0.6092 | 0.7174 | 0.6589 |
60
+ | 0.3389 | 4.0 | 1788 | 1.3235 | 0.6040 | 0.7572 | 0.6720 |
61
+ | 0.2572 | 5.0 | 2235 | 1.2850 | 0.6378 | 0.7464 | 0.6878 |
62
+ | 0.187 | 6.0 | 2682 | 1.4055 | 0.6114 | 0.7754 | 0.6837 |
63
+ | 0.1456 | 7.0 | 3129 | 1.8037 | 0.6464 | 0.6558 | 0.6511 |
64
+ | 0.1386 | 8.0 | 3576 | 1.8962 | 0.6181 | 0.6920 | 0.6530 |
65
+ | 0.1003 | 9.0 | 4023 | 2.1076 | 0.6198 | 0.7029 | 0.6587 |
66
+ | 0.0738 | 10.0 | 4470 | 2.4260 | 0.6463 | 0.7283 | 0.6848 |
67
+ | 0.0233 | 11.0 | 4917 | 2.5047 | 0.6242 | 0.7464 | 0.6799 |
68
+ | 0.0677 | 12.0 | 5364 | 2.6329 | 0.6238 | 0.7029 | 0.6610 |
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+ | 0.0249 | 13.0 | 5811 | 2.5839 | 0.6429 | 0.7174 | 0.6781 |
70
+ | 0.0249 | 14.0 | 6258 | 2.7944 | 0.6347 | 0.7428 | 0.6845 |
71
+ | 0.0228 | 15.0 | 6705 | 2.7954 | 0.6352 | 0.7319 | 0.6801 |
72
 
73
 
74
  ### Framework versions
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