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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - glue
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+ metrics:
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+ - spearmanr
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+ model-index:
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+ - name: distilbert-base-uncased-finetuned-stsb
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: glue
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+ type: glue
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+ config: stsb
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+ split: validation
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+ args: stsb
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+ metrics:
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+ - name: Spearmanr
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+ type: spearmanr
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+ value: 0.8679004942016133
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # distilbert-base-uncased-finetuned-stsb
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5563
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+ - Pearson: 0.8708
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+ - Spearmanr: 0.8679
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
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+ | No log | 1.0 | 360 | 0.6167 | 0.8601 | 0.8577 |
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+ | 1.0026 | 2.0 | 720 | 0.6175 | 0.8670 | 0.8653 |
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+ | 0.3862 | 3.0 | 1080 | 0.6439 | 0.8703 | 0.8675 |
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+ | 0.3862 | 4.0 | 1440 | 0.5563 | 0.8708 | 0.8679 |
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+ | 0.2514 | 5.0 | 1800 | 0.5616 | 0.8694 | 0.8659 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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