---
license: mit
tags:
- generated_from_trainer
model-index:
- name: outputs
  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. -->

# outputs

This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0224
- Pearson: 0.8314

## 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: 8e-05
- train_batch_size: 128
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 214  | 0.0256          | 0.7816  |
| No log        | 2.0   | 428  | 0.0251          | 0.8115  |
| 0.0355        | 3.0   | 642  | 0.0257          | 0.8186  |
| 0.0355        | 4.0   | 856  | 0.0220          | 0.8255  |
| 0.0133        | 5.0   | 1070 | 0.0226          | 0.8287  |
| 0.0133        | 6.0   | 1284 | 0.0220          | 0.8321  |
| 0.0133        | 7.0   | 1498 | 0.0224          | 0.8314  |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1