|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: rap_phase2_26march_4i |
|
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. --> |
|
|
|
# rap_phase2_26march_4i |
|
|
|
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0292 |
|
|
|
## 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: 6 |
|
- eval_batch_size: 6 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 11 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.3901 | 1.0 | 4056 | 0.1670 | |
|
| 0.1095 | 2.0 | 8112 | 0.0996 | |
|
| 0.0734 | 3.0 | 12168 | 0.0628 | |
|
| 0.2175 | 4.0 | 16224 | 0.2520 | |
|
| 0.022 | 5.0 | 20280 | 0.0460 | |
|
| 0.0139 | 6.0 | 24336 | 0.0371 | |
|
| 0.0121 | 7.0 | 28392 | 0.0321 | |
|
| 0.0144 | 8.0 | 32448 | 0.0348 | |
|
| 0.0041 | 9.0 | 36504 | 0.0283 | |
|
| 0.0013 | 10.0 | 40560 | 0.0327 | |
|
| 0.0 | 11.0 | 44616 | 0.0292 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0 |
|
- Pytorch 2.1.1+cu118 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
