End of training

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-petco-filtered_fontsize-ctr
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-petco-filtered_fontsize-ctr
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.0022
+- Mse: 0.0022
+- Rmse: 0.0464
+- Mae: 0.0364
+- R2: 0.4468
+- Accuracy: 0.8
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse    | Rmse   | Mae    | R2      | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|:--------:|
+| 0.0403        | 1.0   | 15   | 0.0119          | 0.0119 | 0.1091 | 0.0921 | -2.0564 | 0.3      |
+| 0.0167        | 2.0   | 30   | 0.0031          | 0.0031 | 0.0555 | 0.0449 | 0.2100  | 0.6      |
+| 0.0125        | 3.0   | 45   | 0.0037          | 0.0037 | 0.0610 | 0.0514 | 0.0429  | 0.5167   |
+| 0.0098        | 4.0   | 60   | 0.0026          | 0.0026 | 0.0508 | 0.0407 | 0.3377  | 0.6333   |
+| 0.0105        | 5.0   | 75   | 0.0029          | 0.0029 | 0.0543 | 0.0413 | 0.2439  | 0.7      |
+| 0.0083        | 6.0   | 90   | 0.0029          | 0.0029 | 0.0535 | 0.0392 | 0.2644  | 0.7      |
+| 0.0052        | 7.0   | 105  | 0.0026          | 0.0026 | 0.0512 | 0.0432 | 0.3280  | 0.7      |
+| 0.0044        | 8.0   | 120  | 0.0023          | 0.0023 | 0.0482 | 0.0376 | 0.4025  | 0.7667   |
+| 0.0045        | 9.0   | 135  | 0.0037          | 0.0037 | 0.0605 | 0.0519 | 0.0601  | 0.4333   |
+| 0.0033        | 10.0  | 150  | 0.0028          | 0.0028 | 0.0525 | 0.0367 | 0.2909  | 0.7      |
+| 0.0035        | 11.0  | 165  | 0.0024          | 0.0024 | 0.0487 | 0.0403 | 0.3918  | 0.7667   |
+| 0.003         | 12.0  | 180  | 0.0022          | 0.0022 | 0.0471 | 0.0367 | 0.4305  | 0.75     |
+| 0.0023        | 13.0  | 195  | 0.0022          | 0.0022 | 0.0464 | 0.0364 | 0.4468  | 0.8      |
+| 0.0022        | 14.0  | 210  | 0.0024          | 0.0024 | 0.0489 | 0.0387 | 0.3863  | 0.7167   |
+| 0.0025        | 15.0  | 225  | 0.0024          | 0.0024 | 0.0492 | 0.0379 | 0.3792  | 0.75     |
+| 0.0021        | 16.0  | 240  | 0.0025          | 0.0025 | 0.0497 | 0.0358 | 0.3667  | 0.7833   |
+| 0.0021        | 17.0  | 255  | 0.0024          | 0.0024 | 0.0486 | 0.0366 | 0.3943  | 0.7667   |
+| 0.0017        | 18.0  | 270  | 0.0024          | 0.0024 | 0.0485 | 0.0354 | 0.3950  | 0.7833   |
+| 0.0017        | 19.0  | 285  | 0.0028          | 0.0028 | 0.0529 | 0.0388 | 0.2819  | 0.75     |
+| 0.0018        | 20.0  | 300  | 0.0025          | 0.0025 | 0.0496 | 0.0363 | 0.3676  | 0.7667   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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