metadata
library_name: transformers
license: mit
base_model: agentlans/deberta-v3-base-zyda-2-v2
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-base-zyda-2-v2-text-quality-v3
results: []
deberta-v3-base-zyda-2-v2-text-quality-v3
This model is a fine-tuned version of agentlans/deberta-v3-base-zyda-2-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1408
- Mse: 0.1408
- Combined Score: 0.1408
- Num Input Tokens Seen: 102398720
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: 8
- 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Combined Score | Input Tokens Seen |
|---|---|---|---|---|---|---|
| 0.1635 | 1.0 | 10000 | 0.1854 | 0.1854 | 0.1854 | 10239872 |
| 0.1241 | 2.0 | 20000 | 0.1408 | 0.1408 | 0.1408 | 20479744 |
| 0.0882 | 3.0 | 30000 | 0.1747 | 0.1747 | 0.1747 | 30719616 |
| 0.054 | 4.0 | 40000 | 0.1528 | 0.1528 | 0.1528 | 40959488 |
| 0.0372 | 5.0 | 50000 | 0.1480 | 0.1480 | 0.1480 | 51199360 |
| 0.0263 | 6.0 | 60000 | 0.1524 | 0.1524 | 0.1524 | 61439232 |
| 0.0203 | 7.0 | 70000 | 0.1495 | 0.1495 | 0.1495 | 71679104 |
| 0.0135 | 8.0 | 80000 | 0.1482 | 0.1482 | 0.1482 | 81918976 |
| 0.0098 | 9.0 | 90000 | 0.1450 | 0.1450 | 0.1450 | 92158848 |
| 0.0073 | 10.0 | 100000 | 0.1453 | 0.1453 | 0.1453 | 102398720 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0