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docketanalyzer
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label-complaint

Text Classification
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deberta-v2
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  1. README.md +14 -14
  2. eval_results.json +6 -6
  3. logs/events.out.tfevents.1722375867.nathan.154991.0 +3 -0
  4. logs/events.out.tfevents.1722378888.nathan.154991.1 +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: 0.0121
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- - F1: 0.9981
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  ## Model description
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@@ -52,18 +52,18 @@ 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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- | 0.0312 | 0.08 | 95 | 0.0374 | 0.9923 |
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- | 0.0035 | 0.16 | 190 | 0.0096 | 0.9981 |
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- | 0.0022 | 0.24 | 285 | 0.0068 | 0.9990 |
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- | 0.0016 | 0.32 | 380 | 0.0143 | 0.9971 |
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- | 0.0012 | 0.4 | 475 | 0.0124 | 0.9981 |
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- | 0.0013 | 0.48 | 570 | 0.0127 | 0.9981 |
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- | 0.0012 | 0.56 | 665 | 0.0114 | 0.9981 |
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- | 0.0011 | 0.64 | 760 | 0.0130 | 0.9981 |
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- | 0.001 | 0.72 | 855 | 0.0117 | 0.9981 |
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- | 0.0005 | 0.8 | 950 | 0.0130 | 0.9981 |
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- | 0.0005 | 0.88 | 1045 | 0.0118 | 0.9981 |
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- | 0.0005 | 0.96 | 1140 | 0.0126 | 0.9981 |
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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: 0.0064
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+ - F1: 0.9987
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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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+ | 0.016 | 0.08 | 380 | 0.0157 | 0.9965 |
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+ | 0.0006 | 0.16 | 760 | 0.0150 | 0.9975 |
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+ | 0.0007 | 0.24 | 1140 | 0.0136 | 0.9977 |
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+ | 0.0003 | 0.32 | 1520 | 0.0128 | 0.9982 |
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+ | 0.0005 | 0.4 | 1900 | 0.0110 | 0.9985 |
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+ | 0.0004 | 0.48 | 2280 | 0.0053 | 0.9987 |
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+ | 0.0004 | 0.56 | 2660 | 0.0035 | 0.9995 |
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+ | 0.0003 | 0.64 | 3040 | 0.0049 | 0.9987 |
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+ | 0.0004 | 0.72 | 3420 | 0.0080 | 0.9985 |
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+ | 0.0577 | 0.8 | 3800 | 0.0081 | 0.9982 |
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+ | 0.0002 | 0.88 | 4180 | 0.0077 | 0.9987 |
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+ | 0.0002 | 0.96 | 4560 | 0.0063 | 0.9987 |
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  ### Framework versions
eval_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "eval_loss": 0.012090153060853481,
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- "eval_f1": 0.9980582524271845,
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- "eval_runtime": 3.2065,
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- "eval_samples_per_second": 311.867,
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- "eval_steps_per_second": 19.648,
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- "epoch": 0.999578947368421
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  }
 
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  {
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+ "eval_loss": 0.0064284102991223335,
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+ "eval_f1": 0.9987344975955453,
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+ "eval_runtime": 40.1494,
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+ "eval_samples_per_second": 99.628,
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+ "eval_steps_per_second": 6.227,
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+ "epoch": 1.0
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  }
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