|
--- |
|
license: apache-2.0 |
|
base_model: distilbert-base-cased |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: tweet_sentiments_analysis_distilbert |
|
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. --> |
|
|
|
# tweet_sentiments_analysis_distilbert |
|
|
|
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6626 |
|
- F1-score: 0.7326 |
|
|
|
## 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: 5e-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 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1-score | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.7194 | 1.0 | 1000 | 0.6968 | 0.6919 | |
|
| 0.5877 | 2.0 | 2000 | 0.6626 | 0.7326 | |
|
| 0.4534 | 3.0 | 3000 | 0.8162 | 0.7333 | |
|
| 0.2909 | 4.0 | 4000 | 1.0658 | 0.7436 | |
|
| 0.2013 | 5.0 | 5000 | 1.3059 | 0.7409 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.0 |
|
- Tokenizers 0.13.3 |
|
|
