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lc_cate

Text Classification
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deberta-v2
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lc_cate

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  1. README.md +18 -14
  2. model.safetensors +1 -1
  3. runs/Jul30_02-58-54_c55f04552318/events.out.tfevents.1722308339.c55f04552318.3104.2 +3 -0
  4. runs/Jul30_02-59-11_c55f04552318/events.out.tfevents.1722308355.c55f04552318.3104.3 +3 -0
  5. runs/Jul30_03-00-17_c55f04552318/events.out.tfevents.1722308420.c55f04552318.3104.4 +3 -0
  6. runs/Jul30_03-00-41_c55f04552318/events.out.tfevents.1722308445.c55f04552318.3104.5 +3 -0
  7. runs/Jul30_03-00-58_c55f04552318/events.out.tfevents.1722308461.c55f04552318.3104.6 +3 -0
  8. runs/Jul30_03-00-58_c55f04552318/events.out.tfevents.1722308884.c55f04552318.3104.7 +3 -0
  9. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2644
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- - Accuracy: 0.7455
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- - F1: 0.7666
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- - Precision: 0.7883
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- - Recall: 0.7460
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  ## Model description
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@@ -49,20 +49,24 @@ 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: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 32 | 0.3856 | 0.5792 | 0.6540 | 0.7474 | 0.5813 |
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- | No log | 2.0 | 64 | 0.3258 | 0.6733 | 0.6918 | 0.7098 | 0.6746 |
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- | No log | 3.0 | 96 | 0.3051 | 0.6713 | 0.7070 | 0.7451 | 0.6726 |
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- | No log | 4.0 | 128 | 0.3030 | 0.7154 | 0.7345 | 0.7537 | 0.7163 |
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- | No log | 5.0 | 160 | 0.2689 | 0.7335 | 0.7637 | 0.7957 | 0.7341 |
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- | No log | 6.0 | 192 | 0.2712 | 0.7355 | 0.7626 | 0.7910 | 0.7361 |
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- | No log | 7.0 | 224 | 0.2645 | 0.7455 | 0.7673 | 0.7899 | 0.7460 |
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- | No log | 8.0 | 256 | 0.2644 | 0.7455 | 0.7666 | 0.7883 | 0.7460 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3148
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+ - Accuracy: 0.7535
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+ - F1: 0.7694
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+ - Precision: 0.7812
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+ - Recall: 0.7579
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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: 12
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 32 | 0.2704 | 0.7415 | 0.7640 | 0.7874 | 0.7421 |
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+ | No log | 2.0 | 64 | 0.2764 | 0.7275 | 0.7497 | 0.7726 | 0.7282 |
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+ | No log | 3.0 | 96 | 0.2802 | 0.7495 | 0.7675 | 0.7859 | 0.75 |
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+ | No log | 4.0 | 128 | 0.2915 | 0.7435 | 0.7614 | 0.7796 | 0.7440 |
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+ | No log | 5.0 | 160 | 0.3044 | 0.7214 | 0.7472 | 0.7717 | 0.7242 |
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+ | No log | 6.0 | 192 | 0.2972 | 0.7595 | 0.7737 | 0.7881 | 0.7599 |
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+ | No log | 7.0 | 224 | 0.3061 | 0.7375 | 0.7626 | 0.7735 | 0.7520 |
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+ | No log | 8.0 | 256 | 0.3049 | 0.7615 | 0.7759 | 0.7862 | 0.7659 |
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+ | No log | 9.0 | 288 | 0.3073 | 0.7475 | 0.7657 | 0.7798 | 0.7520 |
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+ | No log | 10.0 | 320 | 0.3067 | 0.7515 | 0.7705 | 0.7856 | 0.7560 |
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+ | No log | 11.0 | 352 | 0.3187 | 0.7455 | 0.7647 | 0.7822 | 0.7480 |
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+ | No log | 12.0 | 384 | 0.3148 | 0.7535 | 0.7694 | 0.7812 | 0.7579 |
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  ### Framework versions
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