File size: 1,858 Bytes
08ea419 f7bd3b3 08ea419 f7bd3b3 08ea419 f7bd3b3 08ea419 |
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 |
---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: edos-2023-baseline-xlm-roberta-base-label_category
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. -->
# edos-2023-baseline-xlm-roberta-base-label_category
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: 0.4469
- F1: 0.8470
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.1983 | 1.18 | 100 | 1.1133 | 0.1623 |
| 1.0984 | 2.35 | 200 | 0.9809 | 0.2407 |
| 0.9901 | 3.53 | 300 | 0.8533 | 0.5465 |
| 0.8389 | 4.71 | 400 | 0.7101 | 0.6863 |
| 0.7889 | 5.88 | 500 | 0.5927 | 0.7696 |
| 0.6865 | 7.06 | 600 | 0.5303 | 0.8061 |
| 0.6364 | 8.24 | 700 | 0.4778 | 0.8278 |
| 0.5907 | 9.41 | 800 | 0.4469 | 0.8470 |
### Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
|