---
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
metrics:
- pearsonr
- spearmanr
model-index:
- name: enc_cross_encoder__lr_7e-6__wd_0.1__trans_False__obj_mse__tri_None__s_42
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# enc_cross_encoder__lr_7e-6__wd_0.1__trans_False__obj_mse__tri_None__s_42

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co./microsoft/deberta-v3-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0917
- Mse: 0.0917
- Pearsonr: 0.4893
- Spearmanr: 0.4924

## 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: 7e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Pearsonr | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|
| No log        | 1.0   | 354  | 0.0982          | 0.0982 | 0.3975   | 0.4064    |
| 0.1166        | 2.0   | 709  | 0.0880          | 0.0880 | 0.4867   | 0.4889    |
| 0.0903        | 3.0   | 1062 | 0.0917          | 0.0917 | 0.4893   | 0.4924    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.19.1
- Tokenizers 0.15.2