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# disaster-tweet-distilbert-3

This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4337

## 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: 4e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2875        | 0.12  | 12   | 2.3044          |
| 2.1117        | 0.25  | 24   | 2.2753          |
| 2.2477        | 0.38  | 36   | 2.2243          |
| 2.2616        | 0.5   | 48   | 2.1505          |
| 2.1278        | 0.62  | 60   | 2.0550          |
| 2.0568        | 0.75  | 72   | 1.9456          |
| 1.8358        | 0.88  | 84   | 1.8217          |
| 1.7638        | 1.0   | 96   | 1.6916          |
| 1.531         | 1.12  | 108  | 1.5616          |
| 1.5567        | 1.25  | 120  | 1.4224          |
| 1.3747        | 1.38  | 132  | 1.2834          |
| 1.2675        | 1.5   | 144  | 1.1505          |
| 1.0291        | 1.62  | 156  | 1.0330          |
| 0.9212        | 1.75  | 168  | 0.9307          |
| 0.91          | 1.88  | 180  | 0.8426          |
| 0.7726        | 2.0   | 192  | 0.7676          |
| 0.671         | 2.12  | 204  | 0.7126          |
| 0.6759        | 2.25  | 216  | 0.6655          |
| 0.6012        | 2.38  | 228  | 0.6287          |
| 0.6228        | 2.5   | 240  | 0.5989          |
| 0.5432        | 2.62  | 252  | 0.5753          |
| 0.5475        | 2.75  | 264  | 0.5555          |
| 0.5788        | 2.88  | 276  | 0.5381          |
| 0.4944        | 3.0   | 288  | 0.5245          |
| 0.4692        | 3.12  | 300  | 0.5158          |
| 0.4743        | 3.25  | 312  | 0.4995          |
| 0.4333        | 3.38  | 324  | 0.4912          |
| 0.4768        | 3.5   | 336  | 0.4813          |
| 0.4653        | 3.62  | 348  | 0.4730          |
| 0.4249        | 3.75  | 360  | 0.4701          |
| 0.4815        | 3.88  | 372  | 0.4613          |
| 0.4349        | 4.0   | 384  | 0.4552          |
| 0.3723        | 4.12  | 396  | 0.4509          |
| 0.456         | 4.25  | 408  | 0.4469          |
| 0.3988        | 4.38  | 420  | 0.4458          |
| 0.4142        | 4.5   | 432  | 0.4456          |
| 0.4008        | 4.62  | 444  | 0.4385          |
| 0.3943        | 4.75  | 456  | 0.4376          |
| 0.3862        | 4.88  | 468  | 0.4348          |
| 0.3778        | 5.0   | 480  | 0.4337          |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "disaster-tweet-distilbert-3", "results": []}]}
transformers pytorch tensorboard distilbert text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

disaster-tweet-distilbert-3
===========================


This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4337


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: 4e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5### Training results### Framework versions


* Transformers 4.28.1
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2