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End of training

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. run-0/checkpoint-1250/config.json +41 -0
  4. run-0/checkpoint-1250/model.safetensors +3 -0
  5. run-0/checkpoint-1250/optimizer.pt +3 -0
  6. run-0/checkpoint-1250/rng_state.pth +3 -0
  7. run-0/checkpoint-1250/scheduler.pt +3 -0
  8. run-0/checkpoint-1250/special_tokens_map.json +7 -0
  9. run-0/checkpoint-1250/tokenizer.json +0 -0
  10. run-0/checkpoint-1250/tokenizer_config.json +55 -0
  11. run-0/checkpoint-1250/trainer_state.json +369 -0
  12. run-0/checkpoint-1250/training_args.bin +3 -0
  13. run-0/checkpoint-1250/vocab.txt +0 -0
  14. run-0/checkpoint-2750/config.json +41 -0
  15. run-0/checkpoint-2750/model.safetensors +3 -0
  16. run-0/checkpoint-2750/optimizer.pt +3 -0
  17. run-0/checkpoint-2750/rng_state.pth +3 -0
  18. run-0/checkpoint-2750/scheduler.pt +3 -0
  19. run-0/checkpoint-2750/special_tokens_map.json +7 -0
  20. run-0/checkpoint-2750/tokenizer.json +0 -0
  21. run-0/checkpoint-2750/tokenizer_config.json +55 -0
  22. run-0/checkpoint-2750/trainer_state.json +783 -0
  23. run-0/checkpoint-2750/training_args.bin +3 -0
  24. run-0/checkpoint-2750/vocab.txt +0 -0
  25. run-0/checkpoint-3000/config.json +41 -0
  26. run-0/checkpoint-3000/model.safetensors +3 -0
  27. run-0/checkpoint-3000/optimizer.pt +3 -0
  28. run-0/checkpoint-3000/rng_state.pth +3 -0
  29. run-0/checkpoint-3000/scheduler.pt +3 -0
  30. run-0/checkpoint-3000/special_tokens_map.json +7 -0
  31. run-0/checkpoint-3000/tokenizer.json +0 -0
  32. run-0/checkpoint-3000/tokenizer_config.json +55 -0
  33. run-0/checkpoint-3000/trainer_state.json +852 -0
  34. run-0/checkpoint-3000/training_args.bin +3 -0
  35. run-0/checkpoint-3000/vocab.txt +0 -0
  36. runs/Dec27_11-45-30_ArtanisPC/events.out.tfevents.1703673939.ArtanisPC.7175.0 +3 -0
  37. runs/Dec27_12-29-10_ArtanisPC/events.out.tfevents.1703676554.ArtanisPC.7175.1 +3 -0
  38. runs/Dec27_12-29-10_ArtanisPC/events.out.tfevents.1703680039.ArtanisPC.7175.2 +3 -0
  39. runs/Dec27_22-15-55_ArtanisPC/events.out.tfevents.1703711759.ArtanisPC.7175.13 +3 -0
  40. special_tokens_map.json +7 -0
  41. tokenizer.json +0 -0
  42. tokenizer_config.json +55 -0
  43. training_args.bin +2 -2
  44. vocab.txt +0 -0
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
17
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
20
- - Loss: 0.5247
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  - Accuracy: 0.8831
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  ## Model description
@@ -37,9 +37,9 @@ More information needed
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  ### Training hyperparameters
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39
  The following hyperparameters were used during training:
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- - learning_rate: 7.308177098205707e-06
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  - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
@@ -50,18 +50,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
- | 0.6183 | 0.32 | 250 | 0.5711 | 0.8028 |
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- | 0.4463 | 0.64 | 500 | 0.4603 | 0.8351 |
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- | 0.3764 | 0.97 | 750 | 0.4088 | 0.8547 |
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- | 0.3555 | 1.29 | 1000 | 0.3841 | 0.8692 |
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- | 0.3301 | 1.61 | 1250 | 0.4128 | 0.8521 |
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- | 0.2965 | 1.93 | 1500 | 0.3640 | 0.8718 |
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- | 0.213 | 2.26 | 1750 | 0.4138 | 0.8773 |
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- | 0.1944 | 2.58 | 2000 | 0.3984 | 0.8789 |
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- | 0.3084 | 2.9 | 2250 | 0.4197 | 0.8663 |
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- | 0.1137 | 3.22 | 2500 | 0.4813 | 0.8789 |
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- | 0.1939 | 3.54 | 2750 | 0.5448 | 0.8624 |
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- | 0.1746 | 3.87 | 3000 | 0.5247 | 0.8831 |
65
 
66
 
67
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.6887
21
  - Accuracy: 0.8831
22
 
23
  ## Model description
 
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
+ - learning_rate: 2.754984679344267e-05
41
  - train_batch_size: 16
42
+ - eval_batch_size: 4
43
  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: constant_with_warmup
 
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51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | 0.4485 | 0.32 | 250 | 0.4413 | 0.8328 |
54
+ | 0.3639 | 0.64 | 500 | 0.3684 | 0.8610 |
55
+ | 0.3761 | 0.96 | 750 | 0.3548 | 0.8645 |
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+ | 0.2545 | 1.28 | 1000 | 0.4220 | 0.8719 |
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+ | 0.2114 | 1.6 | 1250 | 0.4347 | 0.8716 |
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+ | 0.2752 | 1.92 | 1500 | 0.4132 | 0.8760 |
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+ | 0.0953 | 2.24 | 1750 | 0.6133 | 0.8741 |
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+ | 0.1268 | 2.56 | 2000 | 0.6199 | 0.8796 |
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+ | 0.1913 | 2.88 | 2250 | 0.5158 | 0.8744 |
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+ | 0.0897 | 3.21 | 2500 | 0.6667 | 0.8818 |
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+ | 0.0631 | 3.53 | 2750 | 0.6777 | 0.8770 |
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+ | 0.0678 | 3.85 | 3000 | 0.6887 | 0.8831 |
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  ### Framework versions
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