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initial_model

Text Classification
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End of training

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Files changed (5) hide show
  1. README.md +20 -7
  2. eval_results.json +6 -6
  3. logs/events.out.tfevents.1721396410.nathan.69458.0 +3 -0
  4. logs/events.out.tfevents.1721396758.nathan.69458.1 +3 -0
  5. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [docketanalyzer/docket-lm-xs](https://huggingface.co/docketanalyzer/docket-lm-xs) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0356
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- - F1: 0.9932
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  ## Model description
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@@ -52,11 +52,24 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 0.1422 | 0.1778 | 60 | 0.1180 | 0.9864 |
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- | 0.137 | 0.3556 | 120 | 0.0374 | 0.9932 |
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- | 0.1729 | 0.5333 | 180 | 0.0411 | 0.9915 |
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- | 0.0056 | 0.7111 | 240 | 0.0394 | 0.9915 |
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- | 0.0052 | 0.8889 | 300 | 0.0371 | 0.9932 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [docketanalyzer/docket-lm-xs](https://huggingface.co/docketanalyzer/docket-lm-xs) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0187
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+ - F1: 0.9938
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 0.2297 | 0.0533 | 60 | 0.1805 | 0.9693 |
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+ | 0.1411 | 0.1067 | 120 | 0.0593 | 0.9850 |
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+ | 0.0099 | 0.16 | 180 | 0.0447 | 0.9908 |
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+ | 0.0348 | 0.2133 | 240 | 0.0474 | 0.9892 |
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+ | 0.0046 | 0.2667 | 300 | 0.0379 | 0.9923 |
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+ | 0.0031 | 0.32 | 360 | 0.0334 | 0.9938 |
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+ | 0.127 | 0.3733 | 420 | 0.0325 | 0.9933 |
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+ | 0.1795 | 0.4267 | 480 | 0.0325 | 0.9928 |
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+ | 0.0023 | 0.48 | 540 | 0.0364 | 0.9933 |
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+ | 0.0028 | 0.5333 | 600 | 0.0353 | 0.9923 |
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+ | 0.0043 | 0.5867 | 660 | 0.0290 | 0.9933 |
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+ | 0.1299 | 0.64 | 720 | 0.0252 | 0.9938 |
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+ | 0.188 | 0.6933 | 780 | 0.0235 | 0.9933 |
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+ | 0.0019 | 0.7467 | 840 | 0.0208 | 0.9938 |
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+ | 0.002 | 0.8 | 900 | 0.0199 | 0.9938 |
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+ | 0.0525 | 0.8533 | 960 | 0.0192 | 0.9938 |
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+ | 0.008 | 0.9067 | 1020 | 0.0190 | 0.9938 |
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+ | 0.0013 | 0.96 | 1080 | 0.0193 | 0.9938 |
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  ### Framework versions
eval_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "eval_loss": 0.03562938794493675,
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- "eval_f1": 0.9931972789115647,
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- "eval_runtime": 1.8689,
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- "eval_samples_per_second": 321.047,
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- "eval_steps_per_second": 20.333,
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- "epoch": 0.9985185185185185
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  }
 
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  {
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+ "eval_loss": 0.018748991191387177,
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+ "eval_f1": 0.9938461538461539,
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+ "eval_runtime": 6.4144,
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+ "eval_samples_per_second": 311.798,
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+ "eval_steps_per_second": 19.487,
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+ "epoch": 1.0
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  }
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