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# tiny-mlm-tweet_eval-from-scratch-target-rotten_tomatoes

This model is a fine-tuned version of [muhtasham/tiny-mlm-tweet_eval-from-scratch](https://huggingface.co/muhtasham/tiny-mlm-tweet_eval-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0877
- Accuracy: 0.7514
- F1: 0.7514

## 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
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6935        | 1.87  | 500  | 0.6934          | 0.5      | 0.3333 |
| 0.6919        | 3.75  | 1000 | 0.6785          | 0.5525   | 0.4670 |
| 0.4841        | 5.62  | 1500 | 0.5754          | 0.7317   | 0.7316 |
| 0.3008        | 7.49  | 2000 | 0.6330          | 0.7477   | 0.7477 |
| 0.2209        | 9.36  | 2500 | 0.6851          | 0.7505   | 0.7505 |
| 0.1747        | 11.24 | 3000 | 0.8023          | 0.7439   | 0.7434 |
| 0.1488        | 13.11 | 3500 | 0.9074          | 0.7495   | 0.7495 |
| 0.1274        | 14.98 | 4000 | 0.9746          | 0.7580   | 0.7577 |
| 0.11          | 16.85 | 4500 | 1.0522          | 0.7448   | 0.7445 |
| 0.0947        | 18.73 | 5000 | 1.0877          | 0.7514   | 0.7514 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "tiny-mlm-tweet_eval-from-scratch-target-rotten_tomatoes", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

tiny-mlm-tweet\_eval-from-scratch-target-rotten\_tomatoes
=========================================================


This model is a fine-tuned version of muhtasham/tiny-mlm-tweet\_eval-from-scratch on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.0877
* Accuracy: 0.7514
* F1: 0.7514


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
* training\_steps: 5000


### Training results



### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2



### 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
* training\_steps: 5000 ### Training results ### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### 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
* training\_steps: 5000 ### Training results ### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### 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
* training\_steps: 5000### Training results### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.1+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2