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test_twowayloss_implementation

Text Classification
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PyTorch
bert
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xet
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Saving best model of test_twowayloss_implementation to hub

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Files changed (5) hide show
  1. README.md +8 -8
  2. all_results.json +4 -4
  3. pytorch_model.bin +1 -1
  4. train_results.json +4 -4
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6448
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- - Accuracy: 0.6452
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- - Precision: 0.0111
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- - Recall: 0.4001
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- - F1: 0.0215
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- - Hamming: 0.3548
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  ## Model description
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@@ -57,8 +57,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Hamming |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
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- | 0.6777 | 0.0 | 5 | 0.6576 | 0.6142 | 0.0108 | 0.4274 | 0.0211 | 0.3858 |
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- | 0.6542 | 0.0 | 10 | 0.6448 | 0.6452 | 0.0111 | 0.4001 | 0.0215 | 0.3548 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 8.9001
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+ - Accuracy: 0.5659
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+ - Precision: 0.0114
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+ - Recall: 0.5082
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+ - F1: 0.0223
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+ - Hamming: 0.4341
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Hamming |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
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+ | 8.8818 | 0.0 | 5 | 8.9210 | 0.5632 | 0.0110 | 0.4947 | 0.0216 | 0.4368 |
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+ | 8.124 | 0.0 | 10 | 8.9001 | 0.5659 | 0.0114 | 0.5082 | 0.0223 | 0.4341 |
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  ### Framework versions
all_results.json CHANGED
@@ -1,7 +1,7 @@
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  "epoch": 0.0,
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- "train_loss": 0.665956997871399,
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- "train_runtime": 159.3774,
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- "train_samples_per_second": 0.502,
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- "train_steps_per_second": 0.063
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  }
 
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  {
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+ "train_runtime": 154.8734,
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+ "train_samples_per_second": 0.517,
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+ "train_steps_per_second": 0.065
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  }
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train_results.json CHANGED
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- "train_runtime": 159.3774,
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- "train_samples_per_second": 0.502,
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- "train_steps_per_second": 0.063
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  }
 
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