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# pkemon_cap_v0

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.6491
- Wer Score: 127.2727

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 11.2497       | 0.17  | 2    | 10.0191         | 96.6364   |
| 9.9157        | 0.35  | 4    | 9.5544          | 111.1818  |
| 9.4907        | 0.52  | 6    | 9.1167          | 143.5909  |
| 9.0975        | 0.7   | 8    | 8.8422          | 154.5455  |
| 8.8568        | 0.87  | 10   | 8.6143          | 144.6364  |
| 8.6299        | 1.04  | 12   | 8.4336          | 118.7727  |
| 8.4659        | 1.22  | 14   | 8.2808          | 112.4091  |
| 8.3233        | 1.39  | 16   | 8.1538          | 124.3636  |
| 8.2213        | 1.57  | 18   | 8.0420          | 122.8636  |
| 8.0876        | 1.74  | 20   | 7.9463          | 124.5     |
| 7.9863        | 1.91  | 22   | 7.8647          | 153.9545  |
| 7.9169        | 2.09  | 24   | 7.7966          | 156.0     |
| 7.8652        | 2.26  | 26   | 7.7400          | 155.5455  |
| 7.8245        | 2.43  | 28   | 7.6962          | 142.0909  |
| 7.7512        | 2.61  | 30   | 7.6659          | 129.9545  |
| 7.7344        | 2.78  | 32   | 7.6491          | 127.2727  |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "pkemon_cap_v0", "results": []}]}
transformers pytorch tensorboard git text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #git #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 

pkemon\_cap\_v0
===============


This model is a fine-tuned version of microsoft/git-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 7.6491
* Wer Score: 127.2727


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: 5e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 4
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 4
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #git #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 4
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3