metadata
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: []
deberta-v3-xsmall-zyda-2-sentiment
This model is a fine-tuned version of 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