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# v3-my_awesome

This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4256

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 165   | 1.0474          |
| No log        | 2.0   | 330   | 1.0274          |
| No log        | 3.0   | 495   | 1.0536          |
| 0.2458        | 4.0   | 660   | 1.0316          |
| 0.2458        | 5.0   | 825   | 1.0409          |
| 0.2458        | 6.0   | 990   | 1.0534          |
| 0.1408        | 7.0   | 1155  | 1.0838          |
| 0.1408        | 8.0   | 1320  | 1.0757          |
| 0.1408        | 9.0   | 1485  | 1.1114          |
| 0.0813        | 10.0  | 1650  | 1.1037          |
| 0.0813        | 11.0  | 1815  | 1.0990          |
| 0.0813        | 12.0  | 1980  | 1.1385          |
| 0.0514        | 13.0  | 2145  | 1.1595          |
| 0.0514        | 14.0  | 2310  | 1.1591          |
| 0.0514        | 15.0  | 2475  | 1.1526          |
| 0.0358        | 16.0  | 2640  | 1.1712          |
| 0.0358        | 17.0  | 2805  | 1.1831          |
| 0.0358        | 18.0  | 2970  | 1.1991          |
| 0.027         | 19.0  | 3135  | 1.1804          |
| 0.027         | 20.0  | 3300  | 1.1840          |
| 0.027         | 21.0  | 3465  | 1.2039          |
| 0.0231        | 22.0  | 3630  | 1.2017          |
| 0.0231        | 23.0  | 3795  | 1.2293          |
| 0.0231        | 24.0  | 3960  | 1.2377          |
| 0.0182        | 25.0  | 4125  | 1.2383          |
| 0.0182        | 26.0  | 4290  | 1.2409          |
| 0.0182        | 27.0  | 4455  | 1.2399          |
| 0.0138        | 28.0  | 4620  | 1.2400          |
| 0.0138        | 29.0  | 4785  | 1.2569          |
| 0.0138        | 30.0  | 4950  | 1.2861          |
| 0.0102        | 31.0  | 5115  | 1.2626          |
| 0.0102        | 32.0  | 5280  | 1.2841          |
| 0.0102        | 33.0  | 5445  | 1.2767          |
| 0.0088        | 34.0  | 5610  | 1.2558          |
| 0.0088        | 35.0  | 5775  | 1.2666          |
| 0.0088        | 36.0  | 5940  | 1.2852          |
| 0.0088        | 37.0  | 6105  | 1.2958          |
| 0.0088        | 38.0  | 6270  | 1.3174          |
| 0.0088        | 39.0  | 6435  | 1.2938          |
| 0.0099        | 40.0  | 6600  | 1.3063          |
| 0.0099        | 41.0  | 6765  | 1.2998          |
| 0.0099        | 42.0  | 6930  | 1.3176          |
| 0.0078        | 43.0  | 7095  | 1.3139          |
| 0.0078        | 44.0  | 7260  | 1.2946          |
| 0.0078        | 45.0  | 7425  | 1.3100          |
| 0.0068        | 46.0  | 7590  | 1.3153          |
| 0.0068        | 47.0  | 7755  | 1.3185          |
| 0.0068        | 48.0  | 7920  | 1.3339          |
| 0.0063        | 49.0  | 8085  | 1.3284          |
| 0.0063        | 50.0  | 8250  | 1.3353          |
| 0.0063        | 51.0  | 8415  | 1.3271          |
| 0.0045        | 52.0  | 8580  | 1.3470          |
| 0.0045        | 53.0  | 8745  | 1.3348          |
| 0.0045        | 54.0  | 8910  | 1.3485          |
| 0.0038        | 55.0  | 9075  | 1.3368          |
| 0.0038        | 56.0  | 9240  | 1.3429          |
| 0.0038        | 57.0  | 9405  | 1.3564          |
| 0.0041        | 58.0  | 9570  | 1.3642          |
| 0.0041        | 59.0  | 9735  | 1.3657          |
| 0.0041        | 60.0  | 9900  | 1.3540          |
| 0.0033        | 61.0  | 10065 | 1.3671          |
| 0.0033        | 62.0  | 10230 | 1.3632          |
| 0.0033        | 63.0  | 10395 | 1.3698          |
| 0.0029        | 64.0  | 10560 | 1.3805          |
| 0.0029        | 65.0  | 10725 | 1.3878          |
| 0.0029        | 66.0  | 10890 | 1.3864          |
| 0.0026        | 67.0  | 11055 | 1.3906          |
| 0.0026        | 68.0  | 11220 | 1.3981          |
| 0.0026        | 69.0  | 11385 | 1.3931          |
| 0.0027        | 70.0  | 11550 | 1.3868          |
| 0.0027        | 71.0  | 11715 | 1.3873          |
| 0.0027        | 72.0  | 11880 | 1.3857          |
| 0.0025        | 73.0  | 12045 | 1.3879          |
| 0.0025        | 74.0  | 12210 | 1.3871          |
| 0.0025        | 75.0  | 12375 | 1.3937          |
| 0.002         | 76.0  | 12540 | 1.4003          |
| 0.002         | 77.0  | 12705 | 1.4048          |
| 0.002         | 78.0  | 12870 | 1.4056          |
| 0.0022        | 79.0  | 13035 | 1.4074          |
| 0.0022        | 80.0  | 13200 | 1.4064          |
| 0.0022        | 81.0  | 13365 | 1.4059          |
| 0.0016        | 82.0  | 13530 | 1.4160          |
| 0.0016        | 83.0  | 13695 | 1.4078          |
| 0.0016        | 84.0  | 13860 | 1.4132          |
| 0.0015        | 85.0  | 14025 | 1.4119          |
| 0.0015        | 86.0  | 14190 | 1.4147          |
| 0.0015        | 87.0  | 14355 | 1.4131          |
| 0.0014        | 88.0  | 14520 | 1.4131          |
| 0.0014        | 89.0  | 14685 | 1.4118          |
| 0.0014        | 90.0  | 14850 | 1.4152          |
| 0.0013        | 91.0  | 15015 | 1.4211          |
| 0.0013        | 92.0  | 15180 | 1.4213          |
| 0.0013        | 93.0  | 15345 | 1.4238          |
| 0.0012        | 94.0  | 15510 | 1.4222          |
| 0.0012        | 95.0  | 15675 | 1.4246          |
| 0.0012        | 96.0  | 15840 | 1.4247          |
| 0.0011        | 97.0  | 16005 | 1.4261          |
| 0.0011        | 98.0  | 16170 | 1.4259          |
| 0.0011        | 99.0  | 16335 | 1.4255          |
| 0.0011        | 100.0 | 16500 | 1.4256          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "Patcas/plbart-works", "model-index": [{"name": "v3-my_awesome", "results": []}]}
transformers tensorboard safetensors plbart text2text-generation generated_from_trainer base_model:Patcas/plbart-works autotrain_compatible endpoints_compatible region:us