File size: 1,978 Bytes
fcb1c0f 4433ebb fcb1c0f 4433ebb fcb1c0f 4433ebb fcb1c0f |
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 71 |
---
license: cc-by-sa-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: EMBEDDIA/sloberta
metrics:
- accuracy
- f1
model-index:
- name: lora_fine_tuned_copa_sloberta
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. -->
# lora_fine_tuned_copa_sloberta
This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6931
- Accuracy: 0.51
- F1: 0.5110
## 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: 0.003
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6977 | 1.0 | 50 | 0.6931 | 0.53 | 0.5242 |
| 0.6925 | 2.0 | 100 | 0.6931 | 0.45 | 0.4514 |
| 0.695 | 3.0 | 150 | 0.6931 | 0.61 | 0.6085 |
| 0.6982 | 4.0 | 200 | 0.6931 | 0.44 | 0.4200 |
| 0.699 | 5.0 | 250 | 0.6931 | 0.63 | 0.6285 |
| 0.6962 | 6.0 | 300 | 0.6931 | 0.51 | 0.5062 |
| 0.6918 | 7.0 | 350 | 0.6931 | 0.39 | 0.3893 |
| 0.6983 | 8.0 | 400 | 0.6931 | 0.51 | 0.5110 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |