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test_TwoWayLoss_25K_bs64_P4_N1

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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Saving best model of test_TwoWayLoss_25K_bs64_P4_N1 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
@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6265
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- - Accuracy: 0.7094
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- - Precision: 0.0099
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- - Recall: 0.2915
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- - F1: 0.0192
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- - Hamming: 0.2906
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  ## Model description
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@@ -56,8 +56,8 @@ 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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- | 0.6921 | 0.0 | 5 | 0.6507 | 0.6448 | 0.0101 | 0.3639 | 0.0196 | 0.3552 |
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- | 0.6402 | 0.0 | 10 | 0.6265 | 0.7094 | 0.0099 | 0.2915 | 0.0192 | 0.2906 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 8.8668
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+ - Accuracy: 0.5430
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+ - Precision: 0.0114
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+ - Recall: 0.5359
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+ - F1: 0.0224
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+ - Hamming: 0.4570
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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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+ | 8.9097 | 0.0 | 5 | 8.8974 | 0.5287 | 0.0107 | 0.5189 | 0.0210 | 0.4713 |
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+ | 8.1387 | 0.0 | 10 | 8.8668 | 0.5430 | 0.0114 | 0.5359 | 0.0224 | 0.4570 |
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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_steps_per_second": 0.063
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  }
 
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  }
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- "train_steps_per_second": 0.063
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  }
 
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