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omerfguzel
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emotion_xlnet

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Files changed (6) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Feb21_12-17-52_5880ced9be9a/events.out.tfevents.1708518950.5880ced9be9a.200.1 +3 -0
  4. runs/Feb21_13-28-55_5880ced9be9a/events.out.tfevents.1708522136.5880ced9be9a.18925.0 +3 -0
  5. runs/Feb21_13-28-55_5880ced9be9a/events.out.tfevents.1708522808.5880ced9be9a.18925.1 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ model-index:
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  name: emotion
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  type: emotion
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  config: split
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- split: test
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  args: split
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9145
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1996
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- - Accuracy: 0.9145
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  ## Model description
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@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 250 | 0.3686 | 0.8695 |
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- | 0.5792 | 2.0 | 500 | 0.2257 | 0.908 |
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- | 0.5792 | 3.0 | 750 | 0.1996 | 0.9145 |
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  ### Framework versions
 
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  name: emotion
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  type: emotion
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  config: split
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+ split: validation
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  args: split
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9155
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2021
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+ - Accuracy: 0.9155
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 250 | 0.3639 | 0.8715 |
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+ | 0.5892 | 2.0 | 500 | 0.2404 | 0.911 |
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+ | 0.5892 | 3.0 | 750 | 0.2102 | 0.9175 |
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  ### Framework versions
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