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art-des-bert-large-cased

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  1. README.md +25 -19
  2. model.safetensors +1 -1
  3. runs/Apr21_11-02-40_36f62ca2a075/events.out.tfevents.1713697362.36f62ca2a075.2070.0 +2 -2
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: bert-large-cased
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  model-index:
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  - name: art-des-bert-large-cased
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  results: []
@@ -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 [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7025
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  ## Model description
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@@ -38,29 +38,35 @@ The following hyperparameters were used during training:
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  - train_batch_size: 8
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  - eval_batch_size: 8
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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: linear
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  - num_epochs: 100
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.6755 | 6.49 | 1000 | 1.6113 |
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- | 1.1162 | 12.99 | 2000 | 1.5335 |
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- | 0.8664 | 19.48 | 3000 | 1.4363 |
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- | 0.6844 | 25.97 | 4000 | 1.5348 |
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- | 0.5577 | 32.47 | 5000 | 1.4426 |
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- | 0.4742 | 38.96 | 6000 | 1.6470 |
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- | 0.3975 | 45.45 | 7000 | 1.4066 |
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- | 0.34 | 51.95 | 8000 | 1.4474 |
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- | 0.2929 | 58.44 | 9000 | 1.6889 |
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- | 0.2661 | 64.94 | 10000 | 1.6851 |
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- | 0.2292 | 71.43 | 11000 | 1.5536 |
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- | 0.2058 | 77.92 | 12000 | 1.6485 |
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- | 0.1989 | 84.42 | 13000 | 1.7446 |
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- | 0.1619 | 90.91 | 14000 | 1.6084 |
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- | 0.1588 | 97.4 | 15000 | 1.7025 |
 
 
 
 
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: bert-large-cased
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: art-des-bert-large-cased
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  results: []
 
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  This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2776
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  ## Model description
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 100
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.8053 | 5.19 | 100 | 1.4663 |
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+ | 1.3212 | 10.39 | 200 | 1.3795 |
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+ | 1.0223 | 15.58 | 300 | 1.3545 |
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+ | 0.8991 | 20.78 | 400 | 1.3239 |
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+ | 0.7579 | 25.97 | 500 | 1.3276 |
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+ | 0.6554 | 31.17 | 600 | 1.3435 |
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+ | 0.5786 | 36.36 | 700 | 1.2276 |
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+ | 0.5386 | 41.56 | 800 | 1.1930 |
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+ | 0.479 | 46.75 | 900 | 1.2091 |
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+ | 0.4336 | 51.95 | 1000 | 1.0554 |
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+ | 0.3776 | 57.14 | 1100 | 1.4044 |
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+ | 0.3582 | 62.34 | 1200 | 1.1651 |
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+ | 0.3343 | 67.53 | 1300 | 1.2394 |
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+ | 0.3093 | 72.73 | 1400 | 1.1313 |
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+ | 0.2952 | 77.92 | 1500 | 1.2107 |
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+ | 0.2845 | 83.12 | 1600 | 1.2804 |
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+ | 0.2585 | 88.31 | 1700 | 1.1700 |
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+ | 0.2548 | 93.51 | 1800 | 1.2391 |
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+ | 0.2581 | 98.7 | 1900 | 1.2776 |
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  ### Framework versions
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