
<!-- 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. -->

# disaster-tweet-distilbert-2

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: 0.4469

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2881        | 0.12  | 12   | 2.3069          |
| 2.1166        | 0.25  | 24   | 2.2851          |
| 2.2625        | 0.38  | 36   | 2.2467          |
| 2.2916        | 0.5   | 48   | 2.1909          |
| 2.1774        | 0.62  | 60   | 2.1179          |
| 2.1302        | 0.75  | 72   | 2.0334          |
| 1.9316        | 0.88  | 84   | 1.9362          |
| 1.8821        | 1.0   | 96   | 1.8319          |
| 1.6665        | 1.12  | 108  | 1.7256          |
| 1.7373        | 1.25  | 120  | 1.6102          |
| 1.5704        | 1.38  | 132  | 1.4889          |
| 1.4871        | 1.5   | 144  | 1.3655          |
| 1.2415        | 1.62  | 156  | 1.2460          |
| 1.1341        | 1.75  | 168  | 1.1346          |
| 1.1123        | 1.88  | 180  | 1.0317          |
| 0.9702        | 2.0   | 192  | 0.9399          |
| 0.8219        | 2.12  | 204  | 0.8627          |
| 0.8248        | 2.25  | 216  | 0.7949          |
| 0.7126        | 2.38  | 228  | 0.7394          |
| 0.7492        | 2.5   | 240  | 0.6915          |
| 0.6238        | 2.62  | 252  | 0.6527          |
| 0.62          | 2.75  | 264  | 0.6227          |
| 0.6443        | 2.88  | 276  | 0.5977          |
| 0.5504        | 3.0   | 288  | 0.5793          |
| 0.5225        | 3.12  | 300  | 0.5645          |
| 0.5326        | 3.25  | 312  | 0.5481          |
| 0.4844        | 3.38  | 324  | 0.5348          |
| 0.5218        | 3.5   | 336  | 0.5215          |
| 0.512         | 3.62  | 348  | 0.5097          |
| 0.4597        | 3.75  | 360  | 0.5010          |
| 0.5123        | 3.88  | 372  | 0.4917          |
| 0.4667        | 4.0   | 384  | 0.4834          |
| 0.4087        | 4.12  | 396  | 0.4768          |
| 0.4872        | 4.25  | 408  | 0.4704          |
| 0.4242        | 4.38  | 420  | 0.4678          |
| 0.442         | 4.5   | 432  | 0.4625          |
| 0.433         | 4.62  | 444  | 0.4577          |
| 0.4226        | 4.75  | 456  | 0.4538          |
| 0.411         | 4.88  | 468  | 0.4498          |
| 0.4003        | 5.0   | 480  | 0.4469          |


### 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-2", "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-2
===========================


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: 0.4469


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: 5e-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: 5e-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: 5e-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: 5e-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