File size: 1,762 Bytes
eda1904 | 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 | ---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_26march_custom
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_custom
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: 0.0130
## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1376 | 1.0 | 3968 | 0.1012 |
| 0.0825 | 2.0 | 7936 | 0.0518 |
| 0.9985 | 3.0 | 11904 | 0.0451 |
| 0.0379 | 4.0 | 15872 | 0.0324 |
| 0.0281 | 5.0 | 19840 | 0.0253 |
| 0.0096 | 6.0 | 23808 | 0.0204 |
| 0.0062 | 7.0 | 27776 | 0.0147 |
| 0.0072 | 8.0 | 31744 | 0.0106 |
| 0.0013 | 9.0 | 35712 | 0.0129 |
| 0.0002 | 10.0 | 39680 | 0.0130 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
|