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BERT_Base_Uncase_FineTuned

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  1. README.md +53 -53
  2. model.safetensors +1 -1
  3. runs/Feb16_12-30-10_a79ec0677c2a/events.out.tfevents.1708086611.a79ec0677c2a.314.0 +3 -0
  4. runs/Feb16_12-30-10_a79ec0677c2a/events.out.tfevents.1708086811.a79ec0677c2a.314.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1442
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  ## Model description
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@@ -34,7 +34,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -46,56 +46,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 1 | 5.8549 |
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- | No log | 2.0 | 2 | 5.7016 |
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- | No log | 3.0 | 3 | 5.5546 |
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- | No log | 4.0 | 4 | 5.3958 |
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- | No log | 5.0 | 5 | 5.2156 |
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- | No log | 6.0 | 6 | 5.0008 |
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- | No log | 7.0 | 7 | 4.7435 |
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- | No log | 8.0 | 8 | 4.4550 |
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- | No log | 9.0 | 9 | 4.1482 |
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- | No log | 10.0 | 10 | 3.8186 |
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- | No log | 11.0 | 11 | 3.4935 |
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- | No log | 12.0 | 12 | 3.1970 |
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- | No log | 13.0 | 13 | 2.9240 |
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- | No log | 14.0 | 14 | 2.6759 |
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- | No log | 15.0 | 15 | 2.4359 |
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- | No log | 16.0 | 16 | 2.1997 |
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- | No log | 17.0 | 17 | 1.9812 |
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- | No log | 18.0 | 18 | 1.7909 |
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- | No log | 19.0 | 19 | 1.6221 |
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- | No log | 20.0 | 20 | 1.4638 |
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- | No log | 21.0 | 21 | 1.3025 |
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- | No log | 22.0 | 22 | 1.1569 |
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- | No log | 23.0 | 23 | 1.0153 |
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- | No log | 24.0 | 24 | 0.8911 |
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- | No log | 25.0 | 25 | 0.7908 |
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- | No log | 26.0 | 26 | 0.7072 |
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- | No log | 27.0 | 27 | 0.6364 |
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- | No log | 28.0 | 28 | 0.5716 |
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- | No log | 29.0 | 29 | 0.5170 |
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- | No log | 30.0 | 30 | 0.4659 |
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- | No log | 31.0 | 31 | 0.4208 |
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- | No log | 32.0 | 32 | 0.3811 |
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- | No log | 33.0 | 33 | 0.3489 |
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- | No log | 34.0 | 34 | 0.3205 |
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- | No log | 35.0 | 35 | 0.2945 |
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- | No log | 36.0 | 36 | 0.2710 |
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- | No log | 37.0 | 37 | 0.2497 |
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- | No log | 38.0 | 38 | 0.2315 |
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- | No log | 39.0 | 39 | 0.2155 |
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- | No log | 40.0 | 40 | 0.2024 |
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- | No log | 41.0 | 41 | 0.1910 |
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- | No log | 42.0 | 42 | 0.1813 |
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- | No log | 43.0 | 43 | 0.1727 |
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- | No log | 44.0 | 44 | 0.1652 |
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- | No log | 45.0 | 45 | 0.1591 |
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- | No log | 46.0 | 46 | 0.1540 |
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- | No log | 47.0 | 47 | 0.1500 |
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- | No log | 48.0 | 48 | 0.1471 |
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- | No log | 49.0 | 49 | 0.1452 |
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- | No log | 50.0 | 50 | 0.1442 |
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  ### Framework versions
@@ -103,4 +103,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.37.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.17.0
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- - Tokenizers 0.15.1
 
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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: 0.3483
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 1 | 5.1701 |
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+ | No log | 2.0 | 2 | 5.4334 |
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+ | No log | 3.0 | 3 | 4.3260 |
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+ | No log | 4.0 | 4 | 3.3034 |
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+ | No log | 5.0 | 5 | 3.0477 |
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+ | No log | 6.0 | 6 | 4.1129 |
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+ | No log | 7.0 | 7 | 3.2499 |
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+ | No log | 8.0 | 8 | 1.7431 |
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+ | No log | 9.0 | 9 | 0.9136 |
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+ | No log | 10.0 | 10 | 1.0250 |
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+ | No log | 11.0 | 11 | 4.7958 |
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+ | No log | 12.0 | 12 | 1.8698 |
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+ | No log | 13.0 | 13 | 1.0101 |
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+ | No log | 14.0 | 14 | 0.3832 |
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+ | No log | 15.0 | 15 | 0.3556 |
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+ | No log | 16.0 | 16 | 0.3503 |
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+ | No log | 17.0 | 17 | 0.3488 |
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+ | No log | 18.0 | 18 | 0.3482 |
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+ | No log | 19.0 | 19 | 0.3480 |
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+ | No log | 20.0 | 20 | 0.3478 |
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+ | No log | 21.0 | 21 | 0.3478 |
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+ | No log | 22.0 | 22 | 0.3479 |
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+ | No log | 23.0 | 23 | 0.3483 |
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+ | No log | 24.0 | 24 | 0.3483 |
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+ | No log | 25.0 | 25 | 0.3477 |
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+ | No log | 26.0 | 26 | 0.3435 |
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+ | No log | 27.0 | 27 | 0.3477 |
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+ | No log | 28.0 | 28 | 0.3500 |
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+ | No log | 29.0 | 29 | 0.3569 |
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+ | No log | 30.0 | 30 | 0.3609 |
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+ | No log | 31.0 | 31 | 0.3596 |
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+ | No log | 32.0 | 32 | 0.3546 |
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+ | No log | 33.0 | 33 | 0.3508 |
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+ | No log | 34.0 | 34 | 0.3497 |
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+ | No log | 35.0 | 35 | 0.3537 |
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+ | No log | 36.0 | 36 | 0.3573 |
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+ | No log | 37.0 | 37 | 0.3549 |
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+ | No log | 38.0 | 38 | 0.3535 |
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+ | No log | 39.0 | 39 | 0.3534 |
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+ | No log | 40.0 | 40 | 0.3634 |
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+ | No log | 41.0 | 41 | 0.3800 |
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+ | No log | 42.0 | 42 | 0.3753 |
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+ | No log | 43.0 | 43 | 0.3581 |
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+ | No log | 44.0 | 44 | 0.3519 |
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+ | No log | 45.0 | 45 | 0.3501 |
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+ | No log | 46.0 | 46 | 0.3494 |
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+ | No log | 47.0 | 47 | 0.3490 |
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+ | No log | 48.0 | 48 | 0.3486 |
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+ | No log | 49.0 | 49 | 0.3484 |
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+ | No log | 50.0 | 50 | 0.3483 |
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  ### Framework versions
 
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  - Transformers 4.37.2
104
  - Pytorch 2.1.0+cu121
105
  - Datasets 2.17.0
106
+ - Tokenizers 0.15.2
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