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omerfguzel
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emotion_distilbert

Text Classification
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distilbert
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End of training

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  1. README.md +8 -7
  2. model.safetensors +1 -1
  3. runs/Feb21_13-30-06_95bc8d77776e/events.out.tfevents.1708522207.95bc8d77776e.2152.0 +3 -0
  4. runs/Feb21_13-30-06_95bc8d77776e/events.out.tfevents.1708522457.95bc8d77776e.2152.1 +3 -0
  5. 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: 0.9175
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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 [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: 0.2201
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- - Accuracy: 0.9175
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  ## Model description
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@@ -58,14 +58,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 250 | 0.3139 | 0.902 |
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- | 0.5429 | 2.0 | 500 | 0.2201 | 0.9175 |
 
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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: 0.925
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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: 0.1787
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+ - Accuracy: 0.925
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 250 | 0.2775 | 0.915 |
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+ | 0.5003 | 2.0 | 500 | 0.1803 | 0.928 |
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+ | 0.5003 | 3.0 | 750 | 0.1642 | 0.931 |
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  ### Framework versions
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