|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- tweet_eval |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: base-mlm-imdb-target-tweet |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: tweet_eval |
|
type: tweet_eval |
|
config: emotion |
|
split: train |
|
args: emotion |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.7754010695187166 |
|
- name: F1 |
|
type: f1 |
|
value: 0.77889743305892 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# base-mlm-imdb-target-tweet |
|
|
|
This model is a fine-tuned version of [muhtasham/base-mlm-imdb](https://huggingface.co/muhtasham/base-mlm-imdb) on the tweet_eval dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.7516 |
|
- Accuracy: 0.7754 |
|
- F1: 0.7789 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 200 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
| 0.3412 | 4.9 | 500 | 1.0525 | 0.7888 | 0.7891 | |
|
| 0.0365 | 9.8 | 1000 | 1.4590 | 0.7540 | 0.7572 | |
|
| 0.0127 | 14.71 | 1500 | 1.4788 | 0.7888 | 0.7890 | |
|
| 0.0137 | 19.61 | 2000 | 1.7516 | 0.7754 | 0.7789 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.12.1 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
