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# token_fine_tunned_flipkart_2_gl11

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: 0.2288
- Precision: 0.9084
- Recall: 0.9229
- F1: 0.9156
- Accuracy: 0.9276

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.362         | 1.0   | 1086  | 0.3079          | 0.8734    | 0.8941 | 0.8836 | 0.9012   |
| 0.3096        | 2.0   | 2172  | 0.2767          | 0.8858    | 0.9035 | 0.8946 | 0.9102   |
| 0.2806        | 3.0   | 3258  | 0.2591          | 0.8935    | 0.9111 | 0.9022 | 0.9167   |
| 0.2553        | 4.0   | 4344  | 0.2475          | 0.8989    | 0.9159 | 0.9073 | 0.9203   |
| 0.2372        | 5.0   | 5430  | 0.2400          | 0.9032    | 0.9184 | 0.9107 | 0.9237   |
| 0.2306        | 6.0   | 6516  | 0.2359          | 0.9060    | 0.9198 | 0.9128 | 0.9255   |
| 0.217         | 7.0   | 7602  | 0.2320          | 0.9063    | 0.9214 | 0.9138 | 0.9260   |
| 0.2048        | 8.0   | 8688  | 0.2302          | 0.9075    | 0.9226 | 0.9150 | 0.9268   |
| 0.2086        | 9.0   | 9774  | 0.2290          | 0.9086    | 0.9226 | 0.9155 | 0.9272   |
| 0.2072        | 10.0  | 10860 | 0.2288          | 0.9084    | 0.9229 | 0.9156 | 0.9276   |


### 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_gl11", "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\_gl11
======================================


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: 0.2288
* Precision: 0.9084
* Recall: 0.9229
* F1: 0.9156
* Accuracy: 0.9276


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