End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- pearsonr
+model-index:
+- name: kpfbert-sts-1
+  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. -->
+
+# kpfbert-sts-1
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4351
+- Pearsonr: 0.9182
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearsonr |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 92   | 0.7127          | 0.8759   |
+| No log        | 2.0   | 184  | 0.5016          | 0.9080   |
+| No log        | 3.0   | 276  | 0.4219          | 0.9153   |
+| No log        | 4.0   | 368  | 0.4920          | 0.9114   |
+| No log        | 5.0   | 460  | 0.4351          | 0.9182   |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Aug08_19-06-24_ml-dev-02/events.out.tfevents.1723111662.ml-dev-02.2338679.0

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