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---
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
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