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# videomae-base-finetuned-subset-200epochs

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7635
- Accuracy: 0.7407

## 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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 11100

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.6058        | 0.01   | 56    | 0.7442          | 0.7880   |
| 0.4908        | 1.01   | 112   | 0.7775          | 0.7558   |
| 0.5326        | 2.01   | 168   | 0.7973          | 0.7419   |
| 0.4768        | 3.01   | 224   | 0.8451          | 0.7281   |
| 0.4243        | 4.01   | 280   | 0.9361          | 0.6728   |
| 0.6921        | 5.01   | 336   | 0.8979          | 0.7097   |
| 0.3182        | 6.01   | 392   | 0.8852          | 0.7235   |
| 0.6085        | 7.01   | 448   | 0.9224          | 0.7097   |
| 0.4067        | 8.01   | 504   | 0.9631          | 0.6682   |
| 0.47          | 9.01   | 560   | 0.9193          | 0.7465   |
| 0.5058        | 10.01  | 616   | 0.8967          | 0.7650   |
| 0.4187        | 11.01  | 672   | 0.7403          | 0.7834   |
| 0.6033        | 12.01  | 728   | 1.0005          | 0.6221   |
| 0.5032        | 13.01  | 784   | 1.1420          | 0.5899   |
| 0.5967        | 14.01  | 840   | 1.2590          | 0.5484   |
| 0.3103        | 15.01  | 896   | 0.9723          | 0.6544   |
| 0.4201        | 16.01  | 952   | 1.1665          | 0.6406   |
| 0.6246        | 17.01  | 1008  | 1.2497          | 0.4977   |
| 0.6306        | 18.01  | 1064  | 1.3829          | 0.5668   |
| 0.4179        | 19.01  | 1120  | 1.0787          | 0.5806   |
| 0.5468        | 20.01  | 1176  | 1.1144          | 0.5714   |
| 0.4166        | 21.01  | 1232  | 0.7674          | 0.6912   |
| 0.3844        | 22.01  | 1288  | 0.9260          | 0.6959   |
| 0.5138        | 23.01  | 1344  | 0.9093          | 0.7097   |
| 0.792         | 24.01  | 1400  | 0.7327          | 0.7465   |
| 0.5944        | 25.01  | 1456  | 0.8933          | 0.7650   |
| 0.4855        | 26.01  | 1512  | 0.9830          | 0.6636   |
| 0.6896        | 27.01  | 1568  | 0.7896          | 0.6590   |
| 0.3617        | 28.01  | 1624  | 0.8900          | 0.6544   |
| 0.6362        | 29.01  | 1680  | 1.0237          | 0.6912   |
| 0.6475        | 30.01  | 1736  | 1.1399          | 0.6037   |
| 0.5088        | 31.01  | 1792  | 0.7190          | 0.7742   |
| 0.7271        | 32.01  | 1848  | 0.9492          | 0.6359   |
| 0.3171        | 33.01  | 1904  | 0.9431          | 0.7281   |
| 0.5847        | 34.01  | 1960  | 0.7997          | 0.7235   |
| 0.4703        | 35.01  | 2016  | 0.9506          | 0.7051   |
| 0.4995        | 36.01  | 2072  | 1.0830          | 0.7005   |
| 0.5682        | 37.01  | 2128  | 1.0100          | 0.7005   |
| 0.6424        | 38.01  | 2184  | 0.9587          | 0.6452   |
| 0.5897        | 39.01  | 2240  | 0.8807          | 0.7097   |
| 0.5222        | 40.01  | 2296  | 1.1219          | 0.6682   |
| 0.5239        | 41.01  | 2352  | 1.0848          | 0.6406   |
| 0.5957        | 42.01  | 2408  | 0.9640          | 0.6866   |
| 0.5279        | 43.01  | 2464  | 1.0291          | 0.5853   |
| 0.3545        | 44.01  | 2520  | 0.8908          | 0.6636   |
| 0.6066        | 45.01  | 2576  | 1.2505          | 0.6406   |
| 0.3658        | 46.01  | 2632  | 0.8362          | 0.6866   |
| 0.5454        | 47.01  | 2688  | 1.3975          | 0.5622   |
| 0.5956        | 48.01  | 2744  | 0.8236          | 0.6590   |
| 0.4107        | 49.01  | 2800  | 1.2610          | 0.6267   |
| 0.462         | 50.01  | 2856  | 1.2553          | 0.6406   |
| 0.4837        | 51.01  | 2912  | 1.0389          | 0.6359   |
| 0.621         | 52.01  | 2968  | 0.8281          | 0.7235   |
| 0.4293        | 53.01  | 3024  | 1.0426          | 0.6267   |
| 0.4255        | 54.01  | 3080  | 1.2942          | 0.5806   |
| 0.5607        | 55.01  | 3136  | 1.1234          | 0.6498   |
| 0.3104        | 56.01  | 3192  | 1.0643          | 0.6590   |
| 0.3335        | 57.01  | 3248  | 1.2160          | 0.6590   |
| 0.4232        | 58.01  | 3304  | 1.3532          | 0.5806   |
| 0.6238        | 59.01  | 3360  | 0.9208          | 0.7005   |
| 0.369         | 60.01  | 3416  | 1.2186          | 0.5530   |
| 0.3874        | 61.01  | 3472  | 1.1746          | 0.6452   |
| 0.3421        | 62.01  | 3528  | 1.2017          | 0.5945   |
| 0.4243        | 63.01  | 3584  | 1.0288          | 0.6728   |
| 0.2806        | 64.01  | 3640  | 0.8483          | 0.7419   |
| 0.5357        | 65.01  | 3696  | 1.0890          | 0.6359   |
| 0.5155        | 66.01  | 3752  | 1.1885          | 0.6359   |
| 0.4367        | 67.01  | 3808  | 1.0738          | 0.6820   |
| 0.48          | 68.01  | 3864  | 1.0894          | 0.6866   |
| 0.4703        | 69.01  | 3920  | 1.2252          | 0.6498   |
| 0.4531        | 70.01  | 3976  | 1.0584          | 0.6498   |
| 0.2898        | 71.01  | 4032  | 1.7486          | 0.5576   |
| 0.3684        | 72.01  | 4088  | 1.0524          | 0.6406   |
| 0.2752        | 73.01  | 4144  | 1.2744          | 0.6728   |
| 0.3092        | 74.01  | 4200  | 1.3918          | 0.5806   |
| 0.3507        | 75.01  | 4256  | 1.4599          | 0.6544   |
| 0.4722        | 76.01  | 4312  | 1.0549          | 0.7143   |
| 0.4059        | 77.01  | 4368  | 1.2727          | 0.6728   |
| 0.2734        | 78.01  | 4424  | 1.1258          | 0.6959   |
| 0.4168        | 79.01  | 4480  | 0.9788          | 0.7189   |
| 0.4456        | 80.01  | 4536  | 1.4757          | 0.6544   |
| 0.4519        | 81.01  | 4592  | 1.2796          | 0.6820   |
| 0.5283        | 82.01  | 4648  | 1.2542          | 0.7051   |
| 0.4738        | 83.01  | 4704  | 1.2781          | 0.6083   |
| 0.2128        | 84.01  | 4760  | 1.0077          | 0.6866   |
| 0.3262        | 85.01  | 4816  | 1.0287          | 0.6820   |
| 0.3631        | 86.01  | 4872  | 1.3574          | 0.6544   |
| 0.4085        | 87.01  | 4928  | 1.1976          | 0.7235   |
| 0.3582        | 88.01  | 4984  | 1.4126          | 0.6544   |
| 0.3564        | 89.01  | 5040  | 1.3488          | 0.6406   |
| 0.4207        | 90.01  | 5096  | 1.0565          | 0.7005   |
| 0.4307        | 91.01  | 5152  | 0.9833          | 0.7281   |
| 0.3863        | 92.01  | 5208  | 0.9340          | 0.6912   |
| 0.2949        | 93.01  | 5264  | 0.9835          | 0.7143   |
| 0.2957        | 94.01  | 5320  | 1.1397          | 0.7235   |
| 0.3767        | 95.01  | 5376  | 1.4135          | 0.6221   |
| 0.4949        | 96.01  | 5432  | 1.0483          | 0.7189   |
| 0.3058        | 97.01  | 5488  | 1.8241          | 0.5530   |
| 0.3406        | 98.01  | 5544  | 1.7386          | 0.5760   |
| 0.2319        | 99.01  | 5600  | 1.4739          | 0.6175   |
| 0.5261        | 100.01 | 5656  | 1.0822          | 0.7143   |
| 0.4181        | 101.01 | 5712  | 1.2876          | 0.6728   |
| 0.243         | 102.01 | 5768  | 1.0783          | 0.7235   |
| 0.2603        | 103.01 | 5824  | 1.4557          | 0.6129   |
| 0.4892        | 104.01 | 5880  | 1.2557          | 0.6912   |
| 0.3073        | 105.01 | 5936  | 1.3899          | 0.5991   |
| 0.3601        | 106.01 | 5992  | 1.2048          | 0.6820   |
| 0.4371        | 107.01 | 6048  | 1.3645          | 0.6866   |
| 0.5712        | 108.01 | 6104  | 1.2281          | 0.6636   |
| 0.3697        | 109.01 | 6160  | 1.4402          | 0.6544   |
| 0.2978        | 110.01 | 6216  | 1.3769          | 0.6912   |
| 0.303         | 111.01 | 6272  | 1.3096          | 0.6959   |
| 0.4606        | 112.01 | 6328  | 1.2236          | 0.7005   |
| 0.2554        | 113.01 | 6384  | 1.2662          | 0.6959   |
| 0.3033        | 114.01 | 6440  | 1.2476          | 0.6406   |
| 0.3025        | 115.01 | 6496  | 1.0474          | 0.7143   |
| 0.3513        | 116.01 | 6552  | 1.4692          | 0.6452   |
| 0.4205        | 117.01 | 6608  | 1.2675          | 0.6912   |
| 0.3898        | 118.01 | 6664  | 1.4018          | 0.6590   |
| 0.2184        | 119.01 | 6720  | 1.2402          | 0.6959   |
| 0.319         | 120.01 | 6776  | 1.0747          | 0.7097   |
| 0.2455        | 121.01 | 6832  | 1.3515          | 0.7051   |
| 0.2138        | 122.01 | 6888  | 1.5175          | 0.6682   |
| 0.3805        | 123.01 | 6944  | 1.4817          | 0.6820   |
| 0.3942        | 124.01 | 7000  | 1.5235          | 0.6221   |
| 0.2207        | 125.01 | 7056  | 1.6295          | 0.5945   |
| 0.2217        | 126.01 | 7112  | 1.3348          | 0.6912   |
| 0.3173        | 127.01 | 7168  | 1.3566          | 0.7097   |
| 0.4952        | 128.01 | 7224  | 1.2188          | 0.7327   |
| 0.3238        | 129.01 | 7280  | 1.2574          | 0.7143   |
| 0.1525        | 130.01 | 7336  | 1.5508          | 0.6313   |
| 0.2518        | 131.01 | 7392  | 1.3058          | 0.6912   |
| 0.4523        | 132.01 | 7448  | 1.7539          | 0.6313   |
| 0.3732        | 133.01 | 7504  | 1.4478          | 0.6820   |
| 0.2432        | 134.01 | 7560  | 1.3595          | 0.6912   |
| 0.2798        | 135.01 | 7616  | 1.5007          | 0.6866   |
| 0.3436        | 136.01 | 7672  | 1.3162          | 0.7465   |
| 0.3033        | 137.01 | 7728  | 1.3700          | 0.7051   |
| 0.3457        | 138.01 | 7784  | 1.1052          | 0.7465   |
| 0.1381        | 139.01 | 7840  | 1.5786          | 0.6959   |
| 0.3067        | 140.01 | 7896  | 1.5155          | 0.6912   |
| 0.269         | 141.01 | 7952  | 1.2751          | 0.7512   |
| 0.2646        | 142.01 | 8008  | 1.6017          | 0.6774   |
| 0.3933        | 143.01 | 8064  | 1.4294          | 0.7005   |
| 0.6315        | 144.01 | 8120  | 1.3814          | 0.6866   |
| 0.2814        | 145.01 | 8176  | 1.1689          | 0.7512   |
| 0.2749        | 146.01 | 8232  | 1.3208          | 0.7005   |
| 0.3966        | 147.01 | 8288  | 1.2817          | 0.7189   |
| 0.1787        | 148.01 | 8344  | 1.4568          | 0.7189   |
| 0.3006        | 149.01 | 8400  | 1.3312          | 0.7143   |
| 0.2871        | 150.01 | 8456  | 1.5808          | 0.6452   |
| 0.2018        | 151.01 | 8512  | 1.6682          | 0.6267   |
| 0.2698        | 152.01 | 8568  | 1.4281          | 0.6590   |
| 0.162         | 153.01 | 8624  | 1.4369          | 0.7051   |
| 0.3961        | 154.01 | 8680  | 1.3771          | 0.7143   |
| 0.4034        | 155.01 | 8736  | 1.5444          | 0.6452   |
| 0.2462        | 156.01 | 8792  | 1.4677          | 0.6728   |
| 0.2564        | 157.01 | 8848  | 1.6085          | 0.6590   |
| 0.2905        | 158.01 | 8904  | 1.3037          | 0.6912   |
| 0.2762        | 159.01 | 8960  | 1.3974          | 0.7051   |
| 0.1604        | 160.01 | 9016  | 1.5176          | 0.6959   |
| 0.2399        | 161.01 | 9072  | 1.4504          | 0.7143   |
| 0.3398        | 162.01 | 9128  | 1.4675          | 0.6728   |
| 0.2495        | 163.01 | 9184  | 1.3757          | 0.7005   |
| 0.3076        | 164.01 | 9240  | 1.3699          | 0.7051   |
| 0.2491        | 165.01 | 9296  | 1.4333          | 0.7005   |
| 0.1666        | 166.01 | 9352  | 1.6465          | 0.6313   |
| 0.1871        | 167.01 | 9408  | 1.6614          | 0.6544   |
| 0.2169        | 168.01 | 9464  | 1.8141          | 0.6175   |
| 0.3918        | 169.01 | 9520  | 1.3402          | 0.7097   |
| 0.2697        | 170.01 | 9576  | 1.4295          | 0.6774   |
| 0.2261        | 171.01 | 9632  | 1.5952          | 0.6452   |
| 0.1894        | 172.01 | 9688  | 1.5468          | 0.6590   |
| 0.1714        | 173.01 | 9744  | 1.4434          | 0.6636   |
| 0.3137        | 174.01 | 9800  | 1.5525          | 0.6313   |
| 0.267         | 175.01 | 9856  | 1.6447          | 0.6452   |
| 0.0797        | 176.01 | 9912  | 1.5593          | 0.6682   |
| 0.2698        | 177.01 | 9968  | 1.3952          | 0.7005   |
| 0.1364        | 178.01 | 10024 | 1.6720          | 0.6498   |
| 0.2342        | 179.01 | 10080 | 1.6315          | 0.6682   |
| 0.1909        | 180.01 | 10136 | 1.5374          | 0.7051   |
| 0.2234        | 181.01 | 10192 | 1.5861          | 0.7097   |
| 0.3425        | 182.01 | 10248 | 1.5664          | 0.6912   |
| 0.4092        | 183.01 | 10304 | 1.6135          | 0.6774   |
| 0.2427        | 184.01 | 10360 | 1.5366          | 0.6866   |
| 0.3751        | 185.01 | 10416 | 1.5561          | 0.6959   |
| 0.1831        | 186.01 | 10472 | 1.6049          | 0.7005   |
| 0.2207        | 187.01 | 10528 | 1.6072          | 0.6959   |
| 0.1096        | 188.01 | 10584 | 1.5016          | 0.7097   |
| 0.2417        | 189.01 | 10640 | 1.5027          | 0.7097   |
| 0.2974        | 190.01 | 10696 | 1.4897          | 0.7097   |
| 0.2296        | 191.01 | 10752 | 1.4927          | 0.7235   |
| 0.3323        | 192.01 | 10808 | 1.4947          | 0.7235   |
| 0.3002        | 193.01 | 10864 | 1.5225          | 0.7143   |
| 0.23          | 194.01 | 10920 | 1.4965          | 0.7189   |
| 0.3147        | 195.01 | 10976 | 1.5123          | 0.7051   |
| 0.1344        | 196.01 | 11032 | 1.5192          | 0.7051   |
| 0.1843        | 197.01 | 11088 | 1.5235          | 0.7097   |
| 0.1902        | 198.0  | 11100 | 1.5238          | 0.7097   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.1
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-subset-200epochs", "results": []}]}
transformers safetensors videomae video-classification generated_from_trainer base_model:MCG-NJU/videomae-base license:cc-by-nc-4.0 endpoints_compatible region:us