|
--- |
|
base_model: finiteautomata/bertweet-base-sentiment-analysis |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: experiment-model-bertweet |
|
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. --> |
|
|
|
# experiment-model-bertweet |
|
|
|
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: 0.5974 |
|
- Accuracy: 0.8269 |
|
|
|
## 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 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.3434 | 1.0 | 884 | 0.3707 | 0.8314 | |
|
| 0.3057 | 2.0 | 1768 | 0.3915 | 0.8445 | |
|
| 0.2693 | 3.0 | 2652 | 0.4510 | 0.8309 | |
|
| 0.1861 | 4.0 | 3536 | 0.4873 | 0.8357 | |
|
| 0.1447 | 5.0 | 4420 | 0.5974 | 0.8269 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
