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davepower
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distilbert-base-uncased-finetuned-emotion

Text Classification
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distilbert
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davepower commited on
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Training completed!

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Files changed (4) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Jan03_15-51-17_bf9d3f3dabe4/events.out.tfevents.1704297083.bf9d3f3dabe4.10183.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -23,10 +23,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.938
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  - name: F1
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  type: f1
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- value: 0.9380061236281991
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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
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1511
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- - Accuracy: 0.938
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- - F1: 0.9380
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.2075 | 1.0 | 250 | 0.1792 | 0.927 | 0.9270 |
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- | 0.1334 | 2.0 | 500 | 0.1511 | 0.938 | 0.9380 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9245
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  - name: F1
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  type: f1
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+ value: 0.9243141671866878
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2141
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+ - Accuracy: 0.9245
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+ - F1: 0.9243
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.812 | 1.0 | 250 | 0.2987 | 0.912 | 0.9114 |
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+ | 0.2495 | 2.0 | 500 | 0.2141 | 0.9245 | 0.9243 |
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  ### Framework versions
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