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DeBERTaV3_model_V4

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deberta-v2
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End of training

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  1. README.md +17 -17
  2. config.json +2 -2
  3. model.safetensors +1 -1
  4. runs/Jun11_09-48-29_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1718099310.0417-111206-hkgnini8-10-45-16-10.1902.2 +3 -0
  5. runs/Jun11_09-48-29_0417-111206-hkgnini8-10-45-16-10/events.out.tfevents.1718102175.0417-111206-hkgnini8-10-45-16-10.1902.3 +3 -0
  6. 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: 0.1499
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- - Accuracy: 0.9523
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- - F1: 0.7580
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- - Precision: 0.7692
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- - Recall: 0.7471
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  ## Model description
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@@ -55,18 +55,18 @@ The following hyperparameters were used during training:
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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 | 140 | 0.2857 | 0.9 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 280 | 0.2191 | 0.9201 | 0.3822 | 0.8431 | 0.2471 |
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- | No log | 3.0 | 420 | 0.1895 | 0.9305 | 0.5434 | 0.7912 | 0.4138 |
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- | 0.2613 | 4.0 | 560 | 0.1587 | 0.9483 | 0.7222 | 0.78 | 0.6724 |
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- | 0.2613 | 5.0 | 700 | 0.1529 | 0.9506 | 0.7425 | 0.775 | 0.7126 |
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- | 0.2613 | 6.0 | 840 | 0.1520 | 0.9534 | 0.7582 | 0.7888 | 0.7299 |
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- | 0.2613 | 7.0 | 980 | 0.1500 | 0.9540 | 0.7619 | 0.7901 | 0.7356 |
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- | 0.0842 | 8.0 | 1120 | 0.1499 | 0.9523 | 0.7580 | 0.7692 | 0.7471 |
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- | 0.0842 | 9.0 | 1260 | 0.1511 | 0.9517 | 0.7544 | 0.7679 | 0.7414 |
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- | 0.0842 | 10.0 | 1400 | 0.1540 | 0.9552 | 0.7679 | 0.7963 | 0.7414 |
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- | 0.0387 | 11.0 | 1540 | 0.1560 | 0.9523 | 0.7552 | 0.7758 | 0.7356 |
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- | 0.0387 | 12.0 | 1680 | 0.1562 | 0.9534 | 0.7611 | 0.7818 | 0.7414 |
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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: 0.1536
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+ - Accuracy: 0.9511
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+ - F1: 0.7447
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+ - Precision: 0.7799
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+ - Recall: 0.7126
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  ## Model description
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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 | 140 | 0.2890 | 0.9 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 280 | 0.2285 | 0.9109 | 0.2791 | 0.7317 | 0.1724 |
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+ | No log | 3.0 | 420 | 0.1791 | 0.9420 | 0.6456 | 0.8288 | 0.5287 |
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+ | 0.2695 | 4.0 | 560 | 0.1662 | 0.9460 | 0.7117 | 0.7632 | 0.6667 |
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+ | 0.2695 | 5.0 | 700 | 0.1536 | 0.9511 | 0.7447 | 0.7799 | 0.7126 |
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+ | 0.2695 | 6.0 | 840 | 0.1536 | 0.9494 | 0.7396 | 0.7622 | 0.7184 |
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+ | 0.2695 | 7.0 | 980 | 0.1569 | 0.95 | 0.7418 | 0.7669 | 0.7184 |
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+ | 0.0905 | 8.0 | 1120 | 0.1656 | 0.9489 | 0.7405 | 0.7515 | 0.7299 |
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+ | 0.0905 | 9.0 | 1260 | 0.1640 | 0.9489 | 0.7420 | 0.7485 | 0.7356 |
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+ | 0.0905 | 10.0 | 1400 | 0.1745 | 0.9460 | 0.7235 | 0.7410 | 0.7069 |
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+ | 0.0386 | 11.0 | 1540 | 0.1679 | 0.95 | 0.7464 | 0.7574 | 0.7356 |
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+ | 0.0386 | 12.0 | 1680 | 0.1683 | 0.9511 | 0.7507 | 0.7665 | 0.7356 |
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  ### Framework versions
config.json CHANGED
@@ -16,7 +16,7 @@
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  "5": "cash desk",
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  "6": "queue",
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  "7": "item collection",
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- "8": "online pickup",
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  "9": "others"
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  },
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  "initializer_range": 0.02,
@@ -27,7 +27,7 @@
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  "clothes": 2,
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  "fitting rooms": 3,
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  "item collection": 7,
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- "online pickup": 8,
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  "others": 9,
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  "queue": 6,
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  "staff": 4,
 
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  "5": "cash desk",
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  "6": "queue",
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  "7": "item collection",
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+ "8": "online",
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  "9": "others"
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  },
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  "initializer_range": 0.02,
 
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  "clothes": 2,
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  "fitting rooms": 3,
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  "item collection": 7,
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+ "online": 8,
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  "others": 9,
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  "queue": 6,
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  "staff": 4,
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