metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- accuracy
- f1
model-index:
- name: small-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: 0.7406417112299465
- name: F1
type: f1
value: 0.7432065579579084
small-mlm-imdb-target-tweet
This model is a fine-tuned version of muhtasham/small-mlm-imdb on the tweet_eval dataset. It achieves the following results on the evaluation set:
- Loss: 2.2131
- Accuracy: 0.7406
- F1: 0.7432
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 |
|---|---|---|---|---|---|
| 0.5821 | 4.9 | 500 | 0.8006 | 0.7540 | 0.7514 |
| 0.1013 | 9.8 | 1000 | 1.1662 | 0.7567 | 0.7562 |
| 0.0236 | 14.71 | 1500 | 1.5152 | 0.7540 | 0.7518 |
| 0.0125 | 19.61 | 2000 | 1.6963 | 0.7620 | 0.7581 |
| 0.0068 | 24.51 | 2500 | 1.9273 | 0.7380 | 0.7383 |
| 0.0042 | 29.41 | 3000 | 2.0042 | 0.7487 | 0.7500 |
| 0.0041 | 34.31 | 3500 | 2.2131 | 0.7406 | 0.7432 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2