videomae-base-finetuned-ucf101-subset-finetuned-subset-0401

## Hiperparámetros de entrenamiento
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam con betas=(0.9,0.999) y epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2775

## Resultados de entrenamiento
| Loss | Epoca | Paso | Pérdida de validación | Precisión |
|------|-------|------|----------------------|-----------|
| 1.6151 | 0.02 | 56 | 1.5567 | 0.2949 |
| 1.3399 | 1.02 | 112 | 1.2929 | 0.3825 |
| 1.2751 | 2.02 | 168 | 1.4618 | 0.3134 |
| 1.3725 | 3.02 | 224 | 0.9080 | 0.6498 |
| 1.0782 | 4.02 | 280 | 1.1473 | 0.5300 |
| 1.1514 | 5.02 | 336 | 0.8953 | 0.6359 |
| 1.0593 | 6.02 | 392 | 1.3372 | 0.4608 |
| 1.1193 | 7.02 | 448 | 0.9655 | 0.6313 |
| 0.719 | 8.02 | 504 | 0.8527 | 0.6728 |
| 1.0157 | 9.02 | 560 | 1.2763 | 0.5023 |
| 0.6991 | 10.02 | 616 | 0.8840 | 0.6406 |
| 0.9019 | 11.02 | 672 | 0.8941 | 0.6636 |
| 0.7456 | 12.02 | 728 | 1.0455 | 0.6037 |
| 0.6631 | 13.02 | 784 | 0.6456 | 0.7558 |
| 0.7143 | 14.02 | 840 | 0.8887 | 0.6682 |
| 0.6639 | 15.02 | 896 | 0.6863 | 0.7604 |
| 0.5195 | 16.02 | 952 | 0.9475 | 0.6221 |
| 0.9211 | 17.02 | 1008 | 0.7339 | 0.7373 |
| 0.5328 | 18.02 | 1064 | 0.9085 | 0.6544 |
| 0.6818 | 19.02 | 1120 | 0.7977 | 0.7097 |
| 0.6132 | 20.02 | 1176 | 0.7116 | 0.7373 |
| 0.4113 | 21.02 | 1232 | 1.0191 | 0.5853 |
| 0.7443 | 22.02 | 1288 | 1.2705 | 0.5714 |
| 0.6904 | 23.02 | 1344 | 0.8419 | 0.6636 |
| 0.5888 | 24.02 | 1400 | 0.7481 | 0.6959 |
| 0.6739 | 25.02 | 1456 | 0.9970 | 0.7097 |
| 0.6595 | 26.02 | 1512 | 1.3474 | 0.5806 |
| 0.5574 | 27.02 | 1568 | 0.6245 | 0.7926 |
| 0.5627 | 28.02 | 1624 | 0.7718 | 0.7143 |
| 0.6417 | 29.02 | 1680 | 0.6506 | 0.7604 |
| 0.3854 | 30.02 | 1736 | 0.9524 | 0.6544 |
| 0.354 | 31.02 | 1792 | 1.0662 | 0.5945 |
| 0.7568 | 32.02 | 1848 | 0.7329 | 0.7604 |
| 0.5359 | 33.02 | 1904 | 0.8958 | 0.6774 |
| 0.5946 | 34.02 | 1960 | 0.8312 | 0.6912 |
| 0.5673 | 35.02 | 2016 | 0.7245 | 0.7051 |
| 0.4291 | 36.02 | 2072 | 0.8294 | 0.6912 |
| 0.5245 | 37.02 | 2128 | 0.8931 | 0.7005 |
| 0.4113 | 38.02 | 2184 | 0.7470 | 0.6912 |
| 0.456 | 39.02 | 2240 | 0.8325 | 0.6728 |
| 0.6955 | 40.02 | 2296 | 0.6941 | 0.7788 |
| 0.6283 | 41.02 | 2352 | 0.9662 | 0.6636 |
| 0.6465 | 42.02 | 2408 | 1.1286 | 0.6129 |
| 0.4387 | 43.02 | 2464 | 0.9525 | 0.6175 |
| 0.2879 | 44.02 | 2520 | 1.0277 | 0.6313 |
| 0.5188 | 45.02 | 2576 | 1.0631 | 0.6359 |
| 0.4464 | 46.02 | 2632 | 0.9313 | 0.6359 |
| 0.6155 | 47.02 | 2688 | 0.9699 | 0.6267 |
| 0.3921 | 48.02 | 2744 | 1.0027 | 0.6313 |
| 0.3345 | 49.01 | 2775 | 1.0278 | 0.6221 |

## Versiones del Marco de Trabajo
- Transformers 4.35.2
- Pytorch 1.13.1
- Datasets 2.15.0
- Tokenizers 0.15.0