File size: 1,928 Bytes
4756aa6 | 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
metrics:
- accuracy
- f1
model-index:
- name: fine_tuned_cb_XLMroberta
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. -->
# fine_tuned_cb_XLMroberta
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: 1.4876
- Accuracy: 0.6364
- F1: 0.5977
## 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
- training_steps: 400
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 0.8279 | 3.5714 | 50 | 1.1428 | 0.3182 | 0.1536 |
| 0.6981 | 7.1429 | 100 | 1.2578 | 0.3182 | 0.1536 |
| 0.6005 | 10.7143 | 150 | 1.2018 | 0.3636 | 0.2430 |
| 0.2959 | 14.2857 | 200 | 1.1990 | 0.6364 | 0.5916 |
| 0.1743 | 17.8571 | 250 | 1.5253 | 0.5909 | 0.5562 |
| 0.1206 | 21.4286 | 300 | 1.8099 | 0.5 | 0.4423 |
| 0.0357 | 25.0 | 350 | 1.7105 | 0.5909 | 0.5545 |
| 0.0189 | 28.5714 | 400 | 1.4876 | 0.6364 | 0.5977 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|