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# disaster-tweet-distilbert-4

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: 0.4269

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2869        | 0.12  | 12   | 2.3020          |
| 2.1069        | 0.25  | 24   | 2.2656          |
| 2.2329        | 0.38  | 36   | 2.2020          |
| 2.2317        | 0.5   | 48   | 2.1106          |
| 2.0789        | 0.62  | 60   | 1.9934          |
| 1.9849        | 0.75  | 72   | 1.8608          |
| 1.7433        | 0.88  | 84   | 1.7136          |
| 1.6526        | 1.0   | 96   | 1.5621          |
| 1.4068        | 1.12  | 108  | 1.4142          |
| 1.3952        | 1.25  | 120  | 1.2600          |
| 1.21          | 1.38  | 132  | 1.1151          |
| 1.0925        | 1.5   | 144  | 0.9866          |
| 0.8739        | 1.62  | 156  | 0.8821          |
| 0.7775        | 1.75  | 168  | 0.7948          |
| 0.781         | 1.88  | 180  | 0.7237          |
| 0.6564        | 2.0   | 192  | 0.6666          |
| 0.591         | 2.12  | 204  | 0.6285          |
| 0.5972        | 2.25  | 216  | 0.5974          |
| 0.5446        | 2.38  | 228  | 0.5725          |
| 0.5547        | 2.5   | 240  | 0.5519          |
| 0.4973        | 2.62  | 252  | 0.5338          |
| 0.5049        | 2.75  | 264  | 0.5165          |
| 0.5435        | 2.88  | 276  | 0.5021          |
| 0.4585        | 3.0   | 288  | 0.4905          |
| 0.4333        | 3.12  | 300  | 0.4855          |
| 0.439         | 3.25  | 312  | 0.4738          |
| 0.4046        | 3.38  | 324  | 0.4679          |
| 0.4484        | 3.5   | 336  | 0.4591          |
| 0.4391        | 3.62  | 348  | 0.4534          |
| 0.4044        | 3.75  | 360  | 0.4542          |
| 0.4636        | 3.88  | 372  | 0.4458          |
| 0.4162        | 4.0   | 384  | 0.4408          |
| 0.3497        | 4.12  | 396  | 0.4379          |
| 0.4339        | 4.25  | 408  | 0.4360          |
| 0.3812        | 4.38  | 420  | 0.4345          |
| 0.3944        | 4.5   | 432  | 0.4382          |
| 0.3784        | 4.62  | 444  | 0.4292          |
| 0.3745        | 4.75  | 456  | 0.4311          |
| 0.3697        | 4.88  | 468  | 0.4286          |
| 0.3598        | 5.0   | 480  | 0.4269          |


### 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-4", "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-4
===========================


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: 0.4269


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