File size: 1,755 Bytes
c691491 |
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: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: Ohm-version3
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. -->
# Ohm-version3
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3029
## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4956 | 1.0 | 443 | 0.3774 |
| 0.2915 | 2.0 | 886 | 0.3666 |
| 0.1777 | 3.0 | 1329 | 0.3342 |
| 0.1012 | 4.0 | 1772 | 0.4155 |
| 0.1026 | 5.0 | 2215 | 0.3799 |
| 0.002 | 6.0 | 2658 | 0.3568 |
| 0.1367 | 7.0 | 3101 | 0.2850 |
| 0.1257 | 8.0 | 3544 | 0.3441 |
| 0.0136 | 9.0 | 3987 | 0.2987 |
| 0.1336 | 10.0 | 4430 | 0.3029 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|