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# disaster-tweet-4

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4327

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6759        | 0.12  | 12   | 0.6703          |
| 0.6826        | 0.25  | 24   | 0.6692          |
| 0.6625        | 0.38  | 36   | 0.6672          |
| 0.6789        | 0.5   | 48   | 0.6647          |
| 0.6587        | 0.62  | 60   | 0.6612          |
| 0.6607        | 0.75  | 72   | 0.6569          |
| 0.6642        | 0.88  | 84   | 0.6519          |
| 0.6549        | 1.0   | 96   | 0.6461          |
| 0.6455        | 1.12  | 108  | 0.6395          |
| 0.6386        | 1.25  | 120  | 0.6316          |
| 0.6415        | 1.38  | 132  | 0.6239          |
| 0.617         | 1.5   | 144  | 0.6148          |
| 0.6155        | 1.62  | 156  | 0.6046          |
| 0.5974        | 1.75  | 168  | 0.5924          |
| 0.5919        | 1.88  | 180  | 0.5795          |
| 0.5677        | 2.0   | 192  | 0.5661          |
| 0.5477        | 2.12  | 204  | 0.5538          |
| 0.5393        | 2.25  | 216  | 0.5412          |
| 0.5517        | 2.38  | 228  | 0.5282          |
| 0.5109        | 2.5   | 240  | 0.5141          |
| 0.5096        | 2.62  | 252  | 0.5021          |
| 0.4898        | 2.75  | 264  | 0.4905          |
| 0.5098        | 2.88  | 276  | 0.4813          |
| 0.4455        | 3.0   | 288  | 0.4740          |
| 0.4485        | 3.12  | 300  | 0.4612          |
| 0.4252        | 3.25  | 312  | 0.4556          |
| 0.4169        | 3.38  | 324  | 0.4532          |
| 0.4585        | 3.5   | 336  | 0.4448          |
| 0.4339        | 3.62  | 348  | 0.4377          |
| 0.419         | 3.75  | 360  | 0.4383          |
| 0.4128        | 3.88  | 372  | 0.4293          |
| 0.4324        | 4.0   | 384  | 0.4327          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "disaster-tweet-4", "results": []}]}
transformers pytorch tensorboard roberta text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

disaster-tweet-4
================


This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4327


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: 4


### Training results



### Framework versions


* Transformers 4.28.0
* 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: 4 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #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: 4 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #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: 4### Training results### Framework versions


* Transformers 4.28.0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2