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# my_awesome_model

This model is a fine-tuned version of [AIRI-Institute/gena-lm-bigbird-base-t2t](https://huggingface.co/AIRI-Institute/gena-lm-bigbird-base-t2t) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6717
- Accuracy: 0.7949

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6885        | 1.0   | 10   | 0.6923          | 0.4615   |
| 0.6785        | 2.0   | 20   | 0.6819          | 0.5385   |
| 0.6589        | 3.0   | 30   | 0.6930          | 0.5128   |
| 0.6021        | 4.0   | 40   | 0.7762          | 0.5128   |
| 0.5021        | 5.0   | 50   | 0.5179          | 0.7949   |
| 0.3407        | 6.0   | 60   | 0.4931          | 0.7436   |
| 0.2148        | 7.0   | 70   | 0.5146          | 0.8462   |
| 0.1577        | 8.0   | 80   | 0.5509          | 0.7949   |
| 0.167         | 9.0   | 90   | 0.5763          | 0.8462   |
| 0.0903        | 10.0  | 100  | 0.6717          | 0.7949   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "my_awesome_model", "results": []}]}
transformers pytorch tensorboard big_bird text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #big_bird #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

my\_awesome\_model
==================


This model is a fine-tuned version of AIRI-Institute/gena-lm-bigbird-base-t2t on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.6717
* Accuracy: 0.7949


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: 10


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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: 10 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #big_bird #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #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: 10 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3