|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: deberta-large_lemon_10k_1_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_10k_1_p3 |
|
|
|
This model is a fine-tuned version of [model_saves/deberta-large_lemon_10k_1_p2](https://huggingface.co/model_saves/deberta-large_lemon_10k_1_p2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4244 |
|
- Accuracy: 0.9413 |
|
|
|
## 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: 42 |
|
- 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 | 0.4244 | 0.9413 | |
|
| No log | 2.0 | 536 | 0.4490 | 0.9408 | |
|
| No log | 3.0 | 804 | 0.5007 | 0.9409 | |
|
| 0.249 | 4.0 | 1072 | 0.5361 | 0.9406 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.21.0.dev0 |
|
- Pytorch 1.11.0+cu113 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|