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vargr
/
yt-title-grader

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
mikasiddiqui commited on
Commit
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1 Parent(s): c2cd762

focia/yt-title-grader

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Files changed (4) hide show
  1. README.md +7 -7
  2. all_results.json +5 -5
  3. eval_results.json +5 -5
  4. pytorch_model.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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 yt_main_dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2751
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- - Accuracy: 0.8945
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  ## Model description
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@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
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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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- | 0.2641 | 1.0 | 5725 | 0.2751 | 0.8945 |
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- | 0.2244 | 2.0 | 11450 | 0.2852 | 0.9021 |
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- | 0.1598 | 3.0 | 17175 | 0.3307 | 0.9007 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the yt_main_dataset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4606
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+ - Accuracy: 0.7959
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  ## Model description
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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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+ | 0.5255 | 1.0 | 1357 | 0.4761 | 0.7782 |
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+ | 0.3791 | 2.0 | 2714 | 0.4606 | 0.7959 |
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+ | 0.264 | 3.0 | 4071 | 0.5174 | 0.7982 |
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  ### Framework versions
all_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "epoch": 3.0,
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- "eval_accuracy": 0.8944646814580839,
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- "eval_loss": 0.27506107091903687,
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- "eval_runtime": 24.0277,
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- "eval_samples_per_second": 1633.821,
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- "eval_steps_per_second": 102.132
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  }
 
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  {
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  "epoch": 3.0,
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+ "eval_accuracy": 0.7958722992583038,
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+ "eval_loss": 0.4606163799762726,
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+ "eval_runtime": 3.6759,
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+ "eval_samples_per_second": 2530.824,
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+ "eval_steps_per_second": 158.33
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  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "epoch": 3.0,
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- "eval_accuracy": 0.8944646814580839,
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- "eval_loss": 0.27506107091903687,
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- "eval_runtime": 24.0277,
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- "eval_samples_per_second": 1633.821,
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- "eval_steps_per_second": 102.132
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  }
 
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  {
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  "epoch": 3.0,
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+ "eval_accuracy": 0.7958722992583038,
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+ "eval_loss": 0.4606163799762726,
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+ "eval_runtime": 3.6759,
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+ "eval_samples_per_second": 2530.824,
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+ "eval_steps_per_second": 158.33
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  }
pytorch_model.bin CHANGED
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