metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-ANAD-mlm-0.15-base-19OCT
results: []
xlm-roberta-base-finetuned-ANAD-mlm-0.15-base-19OCT
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5208
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0052 | 0.9999 | 1063 | 1.8141 |
| 1.9038 | 1.9999 | 2126 | 1.7297 |
| 1.8271 | 2.9998 | 3189 | 1.6728 |
| 1.7734 | 3.9998 | 4252 | 1.6329 |
| 1.728 | 4.9997 | 5315 | 1.6055 |
| 1.6905 | 5.9996 | 6378 | 1.5794 |
| 1.6624 | 6.9996 | 7441 | 1.5558 |
| 1.6257 | 7.9995 | 8504 | 1.5368 |
| 1.6127 | 8.9995 | 9567 | 1.5279 |
| 1.593 | 9.9994 | 10630 | 1.5208 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.1.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1