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# canine_sent_2604v4

This model is a fine-tuned version of [google/canine-s](https://huggingface.co/google/canine-s) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 1.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 1.0   | 390  | 0.0036          | 0.0       | 0.0    | 0.0 | 0.9988   |
| 0.0161        | 2.0   | 780  | 0.0022          | 0.0       | 0.0    | 0.0 | 0.9993   |
| 0.0037        | 3.0   | 1170 | 0.0009          | 0.0       | 0.0    | 0.0 | 0.9997   |
| 0.0022        | 4.0   | 1560 | 0.0010          | 0.0       | 0.0    | 0.0 | 0.9997   |
| 0.0022        | 5.0   | 1950 | 0.0005          | 0.0       | 0.0    | 0.0 | 0.9999   |
| 0.0015        | 6.0   | 2340 | 0.0001          | 0.0       | 0.0    | 0.0 | 1.0000   |
| 0.0008        | 7.0   | 2730 | 0.0002          | 0.0       | 0.0    | 0.0 | 0.9999   |
| 0.0006        | 8.0   | 3120 | 0.0002          | 0.0       | 0.0    | 0.0 | 1.0000   |
| 0.0005        | 9.0   | 3510 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0005        | 10.0  | 3900 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0000   |
| 0.0003        | 11.0  | 4290 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0000   |
| 0.0002        | 12.0  | 4680 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0000   |
| 0.0002        | 13.0  | 5070 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0002        | 14.0  | 5460 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0001        | 15.0  | 5850 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "canine_sent_2604v4", "results": []}]}
transformers pytorch tensorboard canine token-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #canine #token-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

canine\_sent\_2604v4
====================


This model is a fine-tuned version of google/canine-s on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0000
* Precision: 0.0
* Recall: 0.0
* F1: 0.0
* Accuracy: 1.0


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: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #canine #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-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #canine #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-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15### Training results### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3