transformers safetensors bert generated_from_trainer base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: scenario-KD-SCR-DIV2-data-glue-stsb-model-bert-base-uncased-run-2
  results: []
---

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# scenario-KD-SCR-DIV2-data-glue-stsb-model-bert-base-uncased-run-2

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8273
- Pearson: 0.8681
- Spearmanr: 0.8672

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 43
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| No log        | 1.0   | 180  | 1.4145          | 0.8334  | 0.8276    |
| No log        | 2.0   | 360  | 1.0360          | 0.8431  | 0.8402    |
| 1.2391        | 3.0   | 540  | 0.9085          | 0.8630  | 0.8599    |
| 1.2391        | 4.0   | 720  | 0.9076          | 0.8659  | 0.8633    |
| 1.2391        | 5.0   | 900  | 1.0266          | 0.8580  | 0.8582    |
| 0.5658        | 6.0   | 1080 | 0.8563          | 0.8673  | 0.8639    |
| 0.5658        | 7.0   | 1260 | 0.8435          | 0.8720  | 0.8685    |
| 0.5658        | 8.0   | 1440 | 0.8458          | 0.8657  | 0.8635    |
| 0.4722        | 9.0   | 1620 | 0.8922          | 0.8624  | 0.8626    |
| 0.4722        | 10.0  | 1800 | 0.8299          | 0.8665  | 0.8634    |
| 0.4722        | 11.0  | 1980 | 0.8519          | 0.8659  | 0.8662    |
| 0.4254        | 12.0  | 2160 | 0.8273          | 0.8681  | 0.8672    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0
