metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_11jan_15i_v1
results: []
rap_phase2_11jan_15i_v1
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0014
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1069 | 1.0 | 4290 | 0.0659 |
| 0.0986 | 2.0 | 8580 | 0.0359 |
| 0.0231 | 3.0 | 12870 | 0.0062 |
| 0.0245 | 4.0 | 17160 | 0.0156 |
| 0.0285 | 5.0 | 21450 | 0.0244 |
| 0.0082 | 6.0 | 25740 | 0.0249 |
| 0.0083 | 7.0 | 30030 | 0.0008 |
| 0.0019 | 8.0 | 34320 | 0.0018 |
| 0.0 | 9.0 | 38610 | 0.0014 |
| 0.0059 | 10.0 | 42900 | 0.0014 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0