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docketanalyzer
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label-complaint

Text Classification
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Safetensors
deberta-v2
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Files changed (5) hide show
  1. README.md +11 -11
  2. eval_results.json +5 -5
  3. logs/events.out.tfevents.1707484906.nathan.87937.0 +3 -0
  4. logs/events.out.tfevents.1707485023.nathan.87937.1 +3 -0
  5. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ 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: 0.0363
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- - F1: 0.9892
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  ## Model description
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@@ -49,15 +49,15 @@ 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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- | 0.0334 | 0.61 | 60 | 0.0383 | 0.9928 |
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- | 0.0077 | 1.22 | 120 | 0.0542 | 0.9786 |
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- | 0.004 | 1.84 | 180 | 0.0340 | 0.9892 |
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- | 0.0031 | 2.45 | 240 | 0.1027 | 0.9716 |
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- | 0.0019 | 3.06 | 300 | 0.0067 | 0.9964 |
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- | 0.0036 | 3.67 | 360 | 0.0076 | 0.9964 |
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- | 0.0019 | 4.29 | 420 | 0.0472 | 0.9856 |
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- | 0.1193 | 4.9 | 480 | 0.0503 | 0.9856 |
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- | 0.0014 | 5.51 | 540 | 0.0350 | 0.9892 |
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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: 0.0212
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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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+ | 0.0301 | 0.61 | 60 | 0.0452 | 0.9847 |
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+ | 0.1998 | 1.22 | 120 | 0.0193 | 0.9969 |
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+ | 0.003 | 1.84 | 180 | 0.0187 | 0.9938 |
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+ | 0.0022 | 2.45 | 240 | 0.0159 | 0.9938 |
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+ | 0.1395 | 3.06 | 300 | 0.0303 | 0.9908 |
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+ | 0.0017 | 3.67 | 360 | 0.0253 | 0.9908 |
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+ | 0.0013 | 4.29 | 420 | 0.0249 | 0.9908 |
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+ | 0.001 | 4.9 | 480 | 0.0222 | 0.9908 |
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+ | 0.001 | 5.51 | 540 | 0.0211 | 0.9938 |
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  ### Framework versions
eval_results.json CHANGED
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  {
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- "eval_loss": 0.03632596880197525,
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- "eval_f1": 0.9891696750902527,
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- "eval_runtime": 1.1875,
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- "eval_samples_per_second": 327.572,
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- "eval_steps_per_second": 21.052,
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  "epoch": 6.0
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  }
 
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  {
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+ "eval_loss": 0.021180542185902596,
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+ "eval_f1": 0.9938271604938271,
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+ "eval_runtime": 1.2119,
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+ "eval_samples_per_second": 320.974,
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+ "eval_steps_per_second": 20.628,
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  "epoch": 6.0
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  }
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