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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-large_lemon_5k_2_p3
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-large_lemon_5k_2_p3
This model is a fine-tuned version of [model_saves/deberta-large_lemon_5k_2_p2](https://huggingface.co/model_saves/deberta-large_lemon_5k_2_p2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4293
- Accuracy: 0.9405
## 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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 52
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 15.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 268 | 0.4293 | 0.9405 |
| No log | 2.0 | 536 | 0.4665 | 0.9391 |
| No log | 3.0 | 804 | 0.5086 | 0.9388 |
| 0.2208 | 4.0 | 1072 | 0.5621 | 0.9394 |
### Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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