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# git-base-coco-pokemon

This model is a fine-tuned version of [microsoft/git-base-coco](https://huggingface.co/microsoft/git-base-coco) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0496
- Wer Score: 17.2413

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 0.53  | 50   | 4.1410          | 21.7574   |
| No log        | 1.06  | 100  | 0.2080          | 0.4284    |
| No log        | 1.6   | 150  | 0.0389          | 0.4503    |
| No log        | 2.13  | 200  | 0.0314          | 0.4297    |
| No log        | 2.66  | 250  | 0.0302          | 0.3935    |
| No log        | 3.19  | 300  | 0.0297          | 3.6761    |
| No log        | 3.72  | 350  | 0.0302          | 0.9729    |
| No log        | 4.26  | 400  | 0.0294          | 3.9110    |
| No log        | 4.79  | 450  | 0.0296          | 0.6968    |
| 0.9165        | 5.32  | 500  | 0.0307          | 14.7252   |
| 0.9165        | 5.85  | 550  | 0.0306          | 14.0787   |
| 0.9165        | 6.38  | 600  | 0.0314          | 17.9974   |
| 0.9165        | 6.91  | 650  | 0.0305          | 19.4271   |
| 0.9165        | 7.45  | 700  | 0.0313          | 18.76     |
| 0.9165        | 7.98  | 750  | 0.0321          | 17.1084   |
| 0.9165        | 8.51  | 800  | 0.0322          | 20.9123   |
| 0.9165        | 9.04  | 850  | 0.0321          | 21.0026   |
| 0.9165        | 9.57  | 900  | 0.0328          | 19.2103   |
| 0.9165        | 10.11 | 950  | 0.0336          | 19.4503   |
| 0.0124        | 10.64 | 1000 | 0.0354          | 19.6310   |
| 0.0124        | 11.17 | 1050 | 0.0350          | 17.3652   |
| 0.0124        | 11.7  | 1100 | 0.0355          | 18.2955   |
| 0.0124        | 12.23 | 1150 | 0.0375          | 19.4194   |
| 0.0124        | 12.77 | 1200 | 0.0362          | 18.2606   |
| 0.0124        | 13.3  | 1250 | 0.0375          | 19.8348   |
| 0.0124        | 13.83 | 1300 | 0.0380          | 18.6581   |
| 0.0124        | 14.36 | 1350 | 0.0383          | 19.2723   |
| 0.0124        | 14.89 | 1400 | 0.0407          | 18.8516   |
| 0.0124        | 15.43 | 1450 | 0.0406          | 19.0968   |
| 0.0049        | 15.96 | 1500 | 0.0406          | 18.4774   |
| 0.0049        | 16.49 | 1550 | 0.0419          | 18.5768   |
| 0.0049        | 17.02 | 1600 | 0.0435          | 19.8606   |
| 0.0049        | 17.55 | 1650 | 0.0437          | 19.6477   |
| 0.0049        | 18.09 | 1700 | 0.0445          | 19.2684   |
| 0.0049        | 18.62 | 1750 | 0.0443          | 18.6039   |
| 0.0049        | 19.15 | 1800 | 0.0432          | 17.8129   |
| 0.0049        | 19.68 | 1850 | 0.0455          | 18.9587   |
| 0.0049        | 20.21 | 1900 | 0.0448          | 18.28     |
| 0.0049        | 20.74 | 1950 | 0.0455          | 18.4477   |
| 0.0009        | 21.28 | 2000 | 0.0453          | 18.2542   |
| 0.0009        | 21.81 | 2050 | 0.0457          | 18.7458   |
| 0.0009        | 22.34 | 2100 | 0.0456          | 18.5239   |
| 0.0009        | 22.87 | 2150 | 0.0450          | 18.3523   |
| 0.0009        | 23.4  | 2200 | 0.0459          | 18.2658   |
| 0.0009        | 23.94 | 2250 | 0.0462          | 18.0916   |
| 0.0009        | 24.47 | 2300 | 0.0465          | 18.3265   |
| 0.0009        | 25.0  | 2350 | 0.0463          | 18.4245   |
| 0.0009        | 25.53 | 2400 | 0.0466          | 18.1948   |
| 0.0009        | 26.06 | 2450 | 0.0467          | 18.0090   |
| 0.0002        | 26.6  | 2500 | 0.0468          | 18.2155   |
| 0.0002        | 27.13 | 2550 | 0.0471          | 18.1639   |
| 0.0002        | 27.66 | 2600 | 0.0472          | 17.92     |
| 0.0002        | 28.19 | 2650 | 0.0472          | 17.9303   |
| 0.0002        | 28.72 | 2700 | 0.0474          | 17.8116   |
| 0.0002        | 29.26 | 2750 | 0.0476          | 17.9045   |
| 0.0002        | 29.79 | 2800 | 0.0477          | 17.4942   |
| 0.0002        | 30.32 | 2850 | 0.0477          | 17.6129   |
| 0.0002        | 30.85 | 2900 | 0.0479          | 17.3910   |
| 0.0002        | 31.38 | 2950 | 0.0480          | 17.6594   |
| 0.0001        | 31.91 | 3000 | 0.0480          | 17.5303   |
| 0.0001        | 32.45 | 3050 | 0.0481          | 17.4245   |
| 0.0001        | 32.98 | 3100 | 0.0483          | 17.4413   |
| 0.0001        | 33.51 | 3150 | 0.0483          | 17.4013   |
| 0.0001        | 34.04 | 3200 | 0.0484          | 17.3342   |
| 0.0001        | 34.57 | 3250 | 0.0485          | 17.2361   |
| 0.0001        | 35.11 | 3300 | 0.0486          | 17.3613   |
| 0.0001        | 35.64 | 3350 | 0.0487          | 17.2606   |
| 0.0001        | 36.17 | 3400 | 0.0488          | 17.4039   |
| 0.0001        | 36.7  | 3450 | 0.0488          | 17.2168   |
| 0.0001        | 37.23 | 3500 | 0.0489          | 17.2194   |
| 0.0001        | 37.77 | 3550 | 0.0488          | 17.3032   |
| 0.0001        | 38.3  | 3600 | 0.0489          | 17.3303   |
| 0.0001        | 38.83 | 3650 | 0.0490          | 17.3277   |
| 0.0001        | 39.36 | 3700 | 0.0490          | 17.3381   |
| 0.0001        | 39.89 | 3750 | 0.0491          | 17.3471   |
| 0.0001        | 40.43 | 3800 | 0.0492          | 17.3497   |
| 0.0001        | 40.96 | 3850 | 0.0492          | 17.3484   |
| 0.0001        | 41.49 | 3900 | 0.0493          | 17.3910   |
| 0.0001        | 42.02 | 3950 | 0.0491          | 17.3019   |
| 0.0           | 42.55 | 4000 | 0.0492          | 17.2942   |
| 0.0           | 43.09 | 4050 | 0.0493          | 17.2645   |
| 0.0           | 43.62 | 4100 | 0.0493          | 17.2387   |
| 0.0           | 44.15 | 4150 | 0.0493          | 17.2348   |
| 0.0           | 44.68 | 4200 | 0.0493          | 17.2490   |
| 0.0           | 45.21 | 4250 | 0.0494          | 17.2374   |
| 0.0           | 45.74 | 4300 | 0.0495          | 17.2568   |
| 0.0           | 46.28 | 4350 | 0.0495          | 17.2619   |
| 0.0           | 46.81 | 4400 | 0.0495          | 17.2310   |
| 0.0           | 47.34 | 4450 | 0.0496          | 17.2374   |
| 0.0           | 47.87 | 4500 | 0.0496          | 17.2426   |
| 0.0           | 48.4  | 4550 | 0.0496          | 17.2387   |
| 0.0           | 48.94 | 4600 | 0.0496          | 17.2335   |
| 0.0           | 49.47 | 4650 | 0.0496          | 17.2387   |
| 0.0           | 50.0  | 4700 | 0.0496          | 17.2413   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/git-base-coco", "model-index": [{"name": "git-base-coco-pokemon", "results": []}]}
transformers safetensors git text-generation generated_from_trainer base_model:microsoft/git-base-coco license:mit autotrain_compatible endpoints_compatible region:us