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pd_subcate

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pd_subcate

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  1. README.md +20 -18
  2. model.safetensors +1 -1
  3. runs/Jul30_08-53-43_06a218ada6c5/events.out.tfevents.1722329627.06a218ada6c5.1464.19 +3 -0
  4. runs/Jul30_08-54-08_06a218ada6c5/events.out.tfevents.1722329653.06a218ada6c5.1464.20 +3 -0
  5. runs/Jul30_08-54-29_06a218ada6c5/events.out.tfevents.1722329675.06a218ada6c5.1464.21 +3 -0
  6. runs/Jul30_08-54-52_06a218ada6c5/events.out.tfevents.1722329699.06a218ada6c5.1464.22 +3 -0
  7. runs/Jul30_08-54-52_06a218ada6c5/events.out.tfevents.1722330252.06a218ada6c5.1464.23 +3 -0
  8. 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 [tangminhanh/pd_cate](https://huggingface.co/tangminhanh/pd_cate) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1442
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- - Accuracy: 0.1378
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- - F1: 0.2169
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- - Precision: 0.4892
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- - Recall: 0.1394
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  ## Model description
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@@ -43,27 +43,29 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 64
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- - eval_batch_size: 128
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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: 9
 
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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 | 42 | 0.2339 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 84 | 0.1855 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 126 | 0.1683 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 4.0 | 168 | 0.1580 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 5.0 | 210 | 0.1522 | 0.0291 | 0.0536 | 0.3393 | 0.0291 |
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- | No log | 6.0 | 252 | 0.1485 | 0.1026 | 0.1716 | 0.5234 | 0.1026 |
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- | No log | 7.0 | 294 | 0.1460 | 0.1149 | 0.1859 | 0.4870 | 0.1149 |
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- | No log | 8.0 | 336 | 0.1447 | 0.1286 | 0.2056 | 0.4885 | 0.1302 |
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- | No log | 9.0 | 378 | 0.1442 | 0.1378 | 0.2169 | 0.4892 | 0.1394 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [tangminhanh/pd_cate](https://huggingface.co/tangminhanh/pd_cate) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1565
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+ - Accuracy: 0.4012
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+ - F1: 0.4557
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+ - Precision: 0.4964
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+ - Recall: 0.4211
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10
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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 | 84 | 0.1407 | 0.1485 | 0.2350 | 0.5051 | 0.1531 |
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+ | No log | 2.0 | 168 | 0.1388 | 0.1914 | 0.2952 | 0.5255 | 0.2052 |
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+ | No log | 3.0 | 252 | 0.1415 | 0.2175 | 0.3119 | 0.4389 | 0.2420 |
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+ | No log | 4.0 | 336 | 0.1420 | 0.3032 | 0.3794 | 0.4626 | 0.3216 |
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+ | No log | 5.0 | 420 | 0.1484 | 0.2894 | 0.3620 | 0.4490 | 0.3032 |
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+ | 0.1113 | 6.0 | 504 | 0.1462 | 0.3124 | 0.3852 | 0.4525 | 0.3354 |
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+ | 0.1113 | 7.0 | 588 | 0.1460 | 0.3614 | 0.4441 | 0.4972 | 0.4012 |
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+ | 0.1113 | 8.0 | 672 | 0.1534 | 0.3629 | 0.4269 | 0.4730 | 0.3890 |
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+ | 0.1113 | 9.0 | 756 | 0.1533 | 0.3966 | 0.4551 | 0.4929 | 0.4227 |
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+ | 0.1113 | 10.0 | 840 | 0.1565 | 0.4012 | 0.4557 | 0.4964 | 0.4211 |
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  ### Framework versions
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