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# token_fine_tunned_flipkart_2_gl9

This model is a fine-tuned version of [vinayak361/token_fine_tunned_flipkart_2_gl7](https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl7) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2452
- Precision: 0.8593
- Recall: 0.8767
- F1: 0.8679
- Accuracy: 0.9105

## 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-06
- 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 | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 451  | 0.3331          | 0.8070    | 0.8310 | 0.8188 | 0.8774   |
| 0.4065        | 2.0   | 902  | 0.2927          | 0.8319    | 0.8526 | 0.8421 | 0.8940   |
| 0.3251        | 3.0   | 1353 | 0.2737          | 0.8428    | 0.8633 | 0.8529 | 0.9021   |
| 0.2825        | 4.0   | 1804 | 0.2650          | 0.8484    | 0.8651 | 0.8567 | 0.9046   |
| 0.2568        | 5.0   | 2255 | 0.2586          | 0.8543    | 0.8749 | 0.8645 | 0.9085   |
| 0.2419        | 6.0   | 2706 | 0.2511          | 0.8552    | 0.8754 | 0.8652 | 0.9083   |
| 0.2351        | 7.0   | 3157 | 0.2481          | 0.8564    | 0.8746 | 0.8654 | 0.9102   |
| 0.2226        | 8.0   | 3608 | 0.2455          | 0.8551    | 0.8746 | 0.8647 | 0.9089   |
| 0.222         | 9.0   | 4059 | 0.2458          | 0.8597    | 0.8769 | 0.8682 | 0.9106   |
| 0.2207        | 10.0  | 4510 | 0.2452          | 0.8593    | 0.8767 | 0.8679 | 0.9105   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.2
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "token_fine_tunned_flipkart_2_gl9", "results": []}]}
transformers pytorch tensorboard distilbert token-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #token-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

token\_fine\_tunned\_flipkart\_2\_gl9
=====================================


This model is a fine-tuned version of vinayak361/token\_fine\_tunned\_flipkart\_2\_gl7 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2452
* Precision: 0.8593
* Recall: 0.8767
* F1: 0.8679
* Accuracy: 0.9105


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-06
* 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 4.19.2
* Pytorch 1.11.0+cu102
* Datasets 2.2.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-06
* 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 4.19.2
* Pytorch 1.11.0+cu102
* Datasets 2.2.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #distilbert #token-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: 2e-06
* 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 4.19.2
* Pytorch 1.11.0+cu102
* Datasets 2.2.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #distilbert #token-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: 2e-06
* 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 4.19.2
* Pytorch 1.11.0+cu102
* Datasets 2.2.2
* Tokenizers 0.12.1