|
--- |
|
license: mit |
|
base_model: roberta-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: Models-RoBERTa-1715659330.632454 |
|
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. --> |
|
|
|
# Models-RoBERTa-1715659330.632454 |
|
|
|
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2353 |
|
- Accuracy: 0.919 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.3034 | 0.25 | 3068 | 0.2485 | 0.902 | |
|
| 0.2598 | 0.5 | 6136 | 0.2506 | 0.906 | |
|
| 0.2441 | 0.75 | 9204 | 0.2321 | 0.912 | |
|
| 0.2334 | 1.0 | 12272 | 0.2065 | 0.913 | |
|
| 0.1825 | 1.25 | 15340 | 0.2189 | 0.91 | |
|
| 0.1764 | 1.5 | 18408 | 0.2488 | 0.916 | |
|
| 0.172 | 1.75 | 21476 | 0.2410 | 0.916 | |
|
| 0.168 | 2.0 | 24544 | 0.2353 | 0.919 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
