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# outputs

This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6286
- Accuracy: 0.7095

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7716        | 0.05  | 20   | 1.1077          | 0.2355   |
| 0.7058        | 0.09  | 40   | 0.8183          | 0.5443   |
| 0.6877        | 0.14  | 60   | 0.8182          | 0.5443   |
| 0.6154        | 0.18  | 80   | 0.7467          | 0.6070   |
| 0.6188        | 0.23  | 100  | 0.7712          | 0.5810   |
| 0.549         | 0.28  | 120  | 0.9027          | 0.4847   |
| 0.5617        | 0.32  | 140  | 0.7137          | 0.6300   |
| 0.5573        | 0.37  | 160  | 0.7936          | 0.5642   |
| 0.5382        | 0.41  | 180  | 0.7245          | 0.6346   |
| 0.5121        | 0.46  | 200  | 0.7282          | 0.6422   |
| 0.5577        | 0.51  | 220  | 0.7301          | 0.6376   |
| 0.4909        | 0.55  | 240  | 0.6293          | 0.6957   |
| 0.5057        | 0.6   | 260  | 0.6421          | 0.6896   |
| 0.4774        | 0.64  | 280  | 0.6944          | 0.6697   |
| 0.4786        | 0.69  | 300  | 0.7043          | 0.6682   |
| 0.4403        | 0.74  | 320  | 0.6020          | 0.7217   |
| 0.5914        | 0.78  | 340  | 0.5944          | 0.7217   |
| 0.459         | 0.83  | 360  | 0.6188          | 0.7171   |
| 0.4654        | 0.87  | 380  | 0.6424          | 0.7110   |
| 0.3851        | 0.92  | 400  | 0.6387          | 0.7095   |
| 0.4811        | 0.97  | 420  | 0.6286          | 0.7095   |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

{"license": "other", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "outputs", "results": []}]}
transformers pytorch opt text-generation generated_from_trainer license:other autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #opt #text-generation #generated_from_trainer #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

outputs
=======


This model is a fine-tuned version of facebook/opt-1.3b on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.6286
* Accuracy: 0.7095


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: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1


### Training results



### Framework versions


* Transformers 4.29.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.29.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #opt #text-generation #generated_from_trainer #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.29.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #opt #text-generation #generated_from_trainer #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1### Training results### Framework versions


* Transformers 4.29.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2