File size: 1,995 Bytes
aefb16e 8b871bc aefb16e 8b871bc aefb16e d92a5c1 aefb16e 8b871bc aefb16e 8b871bc d92a5c1 aefb16e |
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 |
---
base_model: finiteautomata/bertweet-base-sentiment-analysis
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_IMDB_peft
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. -->
# model_IMDB_peft
This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2807
- Accuracy: 0.8894
## 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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3222 | 1.0 | 1563 | 0.3062 | 0.8706 |
| 0.3122 | 2.0 | 3126 | 0.2992 | 0.8770 |
| 0.296 | 3.0 | 4689 | 0.2916 | 0.8825 |
| 0.286 | 4.0 | 6252 | 0.2864 | 0.8847 |
| 0.2723 | 5.0 | 7815 | 0.2843 | 0.8858 |
| 0.2776 | 6.0 | 9378 | 0.2802 | 0.8877 |
| 0.2688 | 7.0 | 10941 | 0.2806 | 0.888 |
| 0.2641 | 8.0 | 12504 | 0.2795 | 0.889 |
| 0.267 | 9.0 | 14067 | 0.2807 | 0.8896 |
| 0.2726 | 10.0 | 15630 | 0.2807 | 0.8894 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.14.0
|