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SharonTudi
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DIALOGUE_second_model

Text Classification
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bert
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End of training

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  1. README.md +21 -21
  2. model.safetensors +1 -1
  3. runs/Jan19_14-58-29_fd24580f6931/events.out.tfevents.1705676322.fd24580f6931.1220.2 +3 -0
  4. 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 [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9320
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- - Precision: 0.8496
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- - Recall: 0.8421
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- - F1: 0.8447
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- - Accuracy: 0.8421
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  ## Model description
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@@ -43,7 +43,7 @@ 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: 0.00012
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -55,21 +55,21 @@ 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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- | 1.0443 | 1.0 | 48 | 1.0651 | 0.4994 | 0.5395 | 0.5025 | 0.5395 |
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- | 0.6631 | 2.0 | 96 | 0.7343 | 0.7711 | 0.75 | 0.7472 | 0.75 |
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- | 0.5366 | 3.0 | 144 | 0.5170 | 0.8766 | 0.8289 | 0.8327 | 0.8289 |
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- | 0.3731 | 4.0 | 192 | 0.5171 | 0.8631 | 0.8421 | 0.8439 | 0.8421 |
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- | 0.3123 | 5.0 | 240 | 0.6708 | 0.8646 | 0.8289 | 0.8343 | 0.8289 |
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- | 0.3094 | 6.0 | 288 | 0.8981 | 0.8313 | 0.7763 | 0.7720 | 0.7763 |
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- | 0.2438 | 7.0 | 336 | 0.7930 | 0.8238 | 0.8026 | 0.8020 | 0.8026 |
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- | 0.2101 | 8.0 | 384 | 0.9481 | 0.8418 | 0.8289 | 0.8295 | 0.8289 |
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- | 0.1366 | 9.0 | 432 | 1.0604 | 0.8489 | 0.8289 | 0.8283 | 0.8289 |
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- | 0.114 | 10.0 | 480 | 0.7540 | 0.8676 | 0.8553 | 0.8530 | 0.8553 |
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- | 0.0838 | 11.0 | 528 | 0.7312 | 0.8496 | 0.8421 | 0.8427 | 0.8421 |
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- | 0.0255 | 12.0 | 576 | 0.9030 | 0.8496 | 0.8421 | 0.8427 | 0.8421 |
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- | 0.0117 | 13.0 | 624 | 1.0963 | 0.8152 | 0.8026 | 0.8062 | 0.8026 |
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- | 0.002 | 14.0 | 672 | 0.9323 | 0.8496 | 0.8421 | 0.8447 | 0.8421 |
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- | 0.0015 | 15.0 | 720 | 0.9320 | 0.8496 | 0.8421 | 0.8447 | 0.8421 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8947
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+ - Precision: 0.8044
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+ - Recall: 0.8026
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+ - F1: 0.8032
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+ - Accuracy: 0.8026
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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: 6e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1259 | 1.0 | 48 | 1.0515 | 0.8349 | 0.8289 | 0.8282 | 0.8289 |
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+ | 0.1905 | 2.0 | 96 | 1.5062 | 0.7753 | 0.7632 | 0.7617 | 0.7632 |
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+ | 0.0579 | 3.0 | 144 | 1.9962 | 0.7931 | 0.7632 | 0.7546 | 0.7632 |
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+ | 0.0528 | 4.0 | 192 | 1.5212 | 0.8220 | 0.8158 | 0.8170 | 0.8158 |
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+ | 0.0497 | 5.0 | 240 | 1.5217 | 0.8344 | 0.8289 | 0.8298 | 0.8289 |
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+ | 0.0181 | 6.0 | 288 | 1.5034 | 0.8344 | 0.8289 | 0.8298 | 0.8289 |
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+ | 0.0003 | 7.0 | 336 | 1.6843 | 0.8044 | 0.8026 | 0.8032 | 0.8026 |
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+ | 0.0002 | 8.0 | 384 | 2.0009 | 0.7773 | 0.7763 | 0.7760 | 0.7763 |
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+ | 0.0186 | 9.0 | 432 | 1.6396 | 0.8202 | 0.8158 | 0.8169 | 0.8158 |
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+ | 0.0001 | 10.0 | 480 | 1.6452 | 0.8202 | 0.8158 | 0.8169 | 0.8158 |
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+ | 0.0001 | 11.0 | 528 | 1.6605 | 0.8202 | 0.8158 | 0.8169 | 0.8158 |
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+ | 0.0001 | 12.0 | 576 | 1.7228 | 0.8202 | 0.8158 | 0.8169 | 0.8158 |
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+ | 0.0006 | 13.0 | 624 | 1.9074 | 0.8044 | 0.8026 | 0.8032 | 0.8026 |
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+ | 0.0001 | 14.0 | 672 | 1.8927 | 0.8044 | 0.8026 | 0.8032 | 0.8026 |
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+ | 0.0001 | 15.0 | 720 | 1.8947 | 0.8044 | 0.8026 | 0.8032 | 0.8026 |
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  ### Framework versions
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