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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- accuracy
- f1
model-index:
- name: tiny-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: 0.6925133689839572
- name: F1
type: f1
value: 0.7003562110650444
---
<!-- 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. -->
# tiny-mlm-imdb-target-tweet
This model is a fine-tuned version of [muhtasham/tiny-mlm-imdb](https://huggingface.co/muhtasham/tiny-mlm-imdb) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5550
- Accuracy: 0.6925
- F1: 0.7004
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.159 | 4.9 | 500 | 0.9977 | 0.6364 | 0.6013 |
| 0.7514 | 9.8 | 1000 | 0.8549 | 0.7112 | 0.7026 |
| 0.5011 | 14.71 | 1500 | 0.8516 | 0.7032 | 0.6962 |
| 0.34 | 19.61 | 2000 | 0.9019 | 0.7059 | 0.7030 |
| 0.2258 | 24.51 | 2500 | 0.9722 | 0.7166 | 0.7164 |
| 0.1607 | 29.41 | 3000 | 1.0724 | 0.6979 | 0.6999 |
| 0.1127 | 34.31 | 3500 | 1.1435 | 0.7193 | 0.7169 |
| 0.0791 | 39.22 | 4000 | 1.2807 | 0.7059 | 0.7069 |
| 0.0568 | 44.12 | 4500 | 1.3849 | 0.7139 | 0.7159 |
| 0.0478 | 49.02 | 5000 | 1.5550 | 0.6925 | 0.7004 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
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