---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: tiny-mlm-glue-qnli-target-glue-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. -->

# tiny-mlm-glue-qnli-target-glue-stsb

This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8934
- Pearson: 0.8154
- Spearmanr: 0.8157

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| 2.952         | 2.78  | 500  | 1.1581          | 0.7199  | 0.7571    |
| 0.9583        | 5.56  | 1000 | 1.1118          | 0.7743  | 0.7995    |
| 0.7459        | 8.33  | 1500 | 0.9843          | 0.8028  | 0.8182    |
| 0.6197        | 11.11 | 2000 | 0.8616          | 0.8165  | 0.8217    |
| 0.5182        | 13.89 | 2500 | 0.9113          | 0.8140  | 0.8169    |
| 0.4676        | 16.67 | 3000 | 0.9804          | 0.8144  | 0.8183    |
| 0.4128        | 19.44 | 3500 | 0.8934          | 0.8154  | 0.8157    |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2