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judithrosell
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VF_BERT_ST_1800

Token Classification
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bert
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End of training

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  1. README.md +15 -15
  2. runs/Sep05_16-18-04_413a648fbcb2/events.out.tfevents.1725553086.413a648fbcb2.965.0 +2 -2
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/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: 0.1814
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- - Precision: 0.8104
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- - Recall: 0.8406
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- - F1: 0.8252
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- - Accuracy: 0.9657
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  ## Model description
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@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.2052 | 1.0 | 569 | 0.1207 | 0.7731 | 0.8082 | 0.7903 | 0.9622 |
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- | 0.0774 | 2.0 | 1138 | 0.1369 | 0.8062 | 0.7998 | 0.8030 | 0.9629 |
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- | 0.0507 | 3.0 | 1707 | 0.1351 | 0.8127 | 0.8386 | 0.8254 | 0.9654 |
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- | 0.0328 | 4.0 | 2276 | 0.1331 | 0.8005 | 0.8414 | 0.8204 | 0.9658 |
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- | 0.0221 | 5.0 | 2845 | 0.1398 | 0.8144 | 0.8429 | 0.8284 | 0.9668 |
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- | 0.0157 | 6.0 | 3414 | 0.1481 | 0.8137 | 0.8401 | 0.8267 | 0.9671 |
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- | 0.0117 | 7.0 | 3983 | 0.1804 | 0.8110 | 0.8439 | 0.8271 | 0.9650 |
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- | 0.0062 | 8.0 | 4552 | 0.1731 | 0.8133 | 0.8434 | 0.8281 | 0.9658 |
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- | 0.005 | 9.0 | 5121 | 0.1835 | 0.8100 | 0.8416 | 0.8255 | 0.9660 |
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- | 0.0043 | 10.0 | 5690 | 0.1814 | 0.8104 | 0.8406 | 0.8252 | 0.9657 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/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: 0.2457
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+ - Precision: 0.9489
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+ - Recall: 0.9480
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+ - F1: 0.9485
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+ - Accuracy: 0.9405
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 30 | 0.4723 | 0.8973 | 0.9212 | 0.9091 | 0.8971 |
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+ | No log | 2.0 | 60 | 0.3328 | 0.9146 | 0.9288 | 0.9217 | 0.9076 |
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+ | No log | 3.0 | 90 | 0.3022 | 0.9316 | 0.9301 | 0.9308 | 0.9168 |
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+ | No log | 4.0 | 120 | 0.2758 | 0.9207 | 0.9398 | 0.9301 | 0.9169 |
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+ | No log | 5.0 | 150 | 0.2592 | 0.9392 | 0.9431 | 0.9411 | 0.9322 |
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+ | No log | 6.0 | 180 | 0.2586 | 0.9445 | 0.9449 | 0.9447 | 0.9366 |
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+ | No log | 7.0 | 210 | 0.2519 | 0.9476 | 0.9447 | 0.9461 | 0.9372 |
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+ | No log | 8.0 | 240 | 0.2468 | 0.9464 | 0.9474 | 0.9469 | 0.9394 |
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+ | No log | 9.0 | 270 | 0.2475 | 0.9486 | 0.9476 | 0.9481 | 0.9399 |
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+ | No log | 10.0 | 300 | 0.2457 | 0.9489 | 0.9480 | 0.9485 | 0.9405 |
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  ### Framework versions
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