---
library_name: transformers
license: mit
base_model: agentlans/deberta-v3-xsmall-zyda-2
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-xsmall-zyda-2-sentiment
  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. -->

# deberta-v3-xsmall-zyda-2-sentiment

This model is a fine-tuned version of [agentlans/deberta-v3-xsmall-zyda-2](https://huggingface.co/agentlans/deberta-v3-xsmall-zyda-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0493
- Mse: 0.0493

## 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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0627        | 1.0   | 3143 | 0.0665          | 0.0665 |
| 0.0411        | 2.0   | 6286 | 0.0493          | 0.0493 |
| 0.0321        | 3.0   | 9429 | 0.0524          | 0.0524 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3