File size: 1,920 Bytes
2b8aacc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
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: []
---
<!-- 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. -->
# xlm-roberta-base-finetuned-ANAD-mlm-0.15-base-19OCT
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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
|