End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: distilbert-base-uncased-finetuned-stsb
+  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. -->
+
+# distilbert-base-uncased-finetuned-stsb
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5575
+- Pearson: 0.8689
+- Spearmanr: 0.8661
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
+| No log        | 1.0   | 360  | 0.6899          | 0.8641  | 0.8626    |
+| 1.0355        | 2.0   | 720  | 0.6125          | 0.8668  | 0.8647    |
+| 0.393         | 3.0   | 1080 | 0.5795          | 0.8688  | 0.8655    |
+| 0.393         | 4.0   | 1440 | 0.5575          | 0.8689  | 0.8661    |
+| 0.2366        | 5.0   | 1800 | 0.5678          | 0.8679  | 0.8649    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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