deberta-v3-xsmall-zyda-2-quality-rerun
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: 0.3140
- Mse: 0.3140
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 |
|---|---|---|---|---|
| 0.3569 | 1.0 | 13316 | 0.3436 | 0.3436 |
| 0.2857 | 2.0 | 26632 | 0.3209 | 0.3209 |
| 0.2395 | 3.0 | 39948 | 0.3140 | 0.3140 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for agentlans/deberta-v3-xsmall-zyda-2-quality
Base model
microsoft/deberta-v3-xsmall
Finetuned
agentlans/deberta-v3-xsmall-zyda-2