---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: best_model-yelp_polarity-16-42
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# best_model-yelp_polarity-16-42

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2717
- Accuracy: 0.9375

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.2161          | 0.9375   |
| No log        | 2.0   | 2    | 0.2155          | 0.9375   |
| No log        | 3.0   | 3    | 0.2142          | 0.9375   |
| No log        | 4.0   | 4    | 0.2123          | 0.9375   |
| No log        | 5.0   | 5    | 0.2097          | 0.9375   |
| No log        | 6.0   | 6    | 0.2064          | 0.9375   |
| No log        | 7.0   | 7    | 0.2032          | 0.9375   |
| No log        | 8.0   | 8    | 0.1996          | 0.9375   |
| No log        | 9.0   | 9    | 0.1958          | 0.9375   |
| 0.4487        | 10.0  | 10   | 0.1921          | 0.9375   |
| 0.4487        | 11.0  | 11   | 0.1882          | 0.9375   |
| 0.4487        | 12.0  | 12   | 0.1845          | 0.9688   |
| 0.4487        | 13.0  | 13   | 0.1812          | 0.9688   |
| 0.4487        | 14.0  | 14   | 0.1785          | 0.9688   |
| 0.4487        | 15.0  | 15   | 0.1765          | 0.9688   |
| 0.4487        | 16.0  | 16   | 0.1754          | 0.9688   |
| 0.4487        | 17.0  | 17   | 0.1752          | 0.9688   |
| 0.4487        | 18.0  | 18   | 0.1758          | 0.9688   |
| 0.4487        | 19.0  | 19   | 0.1772          | 0.9688   |
| 0.4206        | 20.0  | 20   | 0.1797          | 0.9688   |
| 0.4206        | 21.0  | 21   | 0.1836          | 0.9688   |
| 0.4206        | 22.0  | 22   | 0.1891          | 0.9688   |
| 0.4206        | 23.0  | 23   | 0.1962          | 0.9375   |
| 0.4206        | 24.0  | 24   | 0.2053          | 0.9375   |
| 0.4206        | 25.0  | 25   | 0.2167          | 0.9375   |
| 0.4206        | 26.0  | 26   | 0.2280          | 0.9375   |
| 0.4206        | 27.0  | 27   | 0.2410          | 0.9375   |
| 0.4206        | 28.0  | 28   | 0.2550          | 0.9375   |
| 0.4206        | 29.0  | 29   | 0.2667          | 0.9375   |
| 0.214         | 30.0  | 30   | 0.2789          | 0.9375   |
| 0.214         | 31.0  | 31   | 0.2895          | 0.9375   |
| 0.214         | 32.0  | 32   | 0.2970          | 0.9375   |
| 0.214         | 33.0  | 33   | 0.3027          | 0.9375   |
| 0.214         | 34.0  | 34   | 0.3057          | 0.9375   |
| 0.214         | 35.0  | 35   | 0.3061          | 0.9375   |
| 0.214         | 36.0  | 36   | 0.3038          | 0.9375   |
| 0.214         | 37.0  | 37   | 0.2990          | 0.9375   |
| 0.214         | 38.0  | 38   | 0.2912          | 0.9375   |
| 0.214         | 39.0  | 39   | 0.2808          | 0.9375   |
| 0.1164        | 40.0  | 40   | 0.2672          | 0.9375   |
| 0.1164        | 41.0  | 41   | 0.2505          | 0.9375   |
| 0.1164        | 42.0  | 42   | 0.2319          | 0.9375   |
| 0.1164        | 43.0  | 43   | 0.2172          | 0.9375   |
| 0.1164        | 44.0  | 44   | 0.2071          | 0.9375   |
| 0.1164        | 45.0  | 45   | 0.1979          | 0.9375   |
| 0.1164        | 46.0  | 46   | 0.1928          | 0.9375   |
| 0.1164        | 47.0  | 47   | 0.1884          | 0.9688   |
| 0.1164        | 48.0  | 48   | 0.1868          | 0.9688   |
| 0.1164        | 49.0  | 49   | 0.1871          | 0.9688   |
| 0.032         | 50.0  | 50   | 0.1898          | 0.9375   |
| 0.032         | 51.0  | 51   | 0.1953          | 0.9375   |
| 0.032         | 52.0  | 52   | 0.2052          | 0.9375   |
| 0.032         | 53.0  | 53   | 0.2205          | 0.9375   |
| 0.032         | 54.0  | 54   | 0.2332          | 0.9375   |
| 0.032         | 55.0  | 55   | 0.2420          | 0.9375   |
| 0.032         | 56.0  | 56   | 0.2458          | 0.9375   |
| 0.032         | 57.0  | 57   | 0.2462          | 0.9375   |
| 0.032         | 58.0  | 58   | 0.2419          | 0.9375   |
| 0.032         | 59.0  | 59   | 0.2325          | 0.9375   |
| 0.0168        | 60.0  | 60   | 0.2284          | 0.9375   |
| 0.0168        | 61.0  | 61   | 0.2304          | 0.9375   |
| 0.0168        | 62.0  | 62   | 0.2372          | 0.9375   |
| 0.0168        | 63.0  | 63   | 0.2469          | 0.9375   |
| 0.0168        | 64.0  | 64   | 0.2518          | 0.9375   |
| 0.0168        | 65.0  | 65   | 0.2557          | 0.9375   |
| 0.0168        | 66.0  | 66   | 0.2580          | 0.9375   |
| 0.0168        | 67.0  | 67   | 0.2535          | 0.9375   |
| 0.0168        | 68.0  | 68   | 0.2500          | 0.9375   |
| 0.0168        | 69.0  | 69   | 0.2480          | 0.9375   |
| 0.0063        | 70.0  | 70   | 0.2459          | 0.9375   |
| 0.0063        | 71.0  | 71   | 0.2437          | 0.9375   |
| 0.0063        | 72.0  | 72   | 0.2393          | 0.9375   |
| 0.0063        | 73.0  | 73   | 0.2342          | 0.9375   |
| 0.0063        | 74.0  | 74   | 0.2297          | 0.9375   |
| 0.0063        | 75.0  | 75   | 0.2264          | 0.9375   |
| 0.0063        | 76.0  | 76   | 0.2254          | 0.9375   |
| 0.0063        | 77.0  | 77   | 0.2250          | 0.9375   |
| 0.0063        | 78.0  | 78   | 0.2243          | 0.9375   |
| 0.0063        | 79.0  | 79   | 0.2238          | 0.9375   |
| 0.0041        | 80.0  | 80   | 0.2226          | 0.9375   |
| 0.0041        | 81.0  | 81   | 0.2221          | 0.9375   |
| 0.0041        | 82.0  | 82   | 0.2227          | 0.9375   |
| 0.0041        | 83.0  | 83   | 0.2234          | 0.9375   |
| 0.0041        | 84.0  | 84   | 0.2244          | 0.9375   |
| 0.0041        | 85.0  | 85   | 0.2257          | 0.9375   |
| 0.0041        | 86.0  | 86   | 0.2263          | 0.9375   |
| 0.0041        | 87.0  | 87   | 0.2270          | 0.9375   |
| 0.0041        | 88.0  | 88   | 0.2279          | 0.9375   |
| 0.0041        | 89.0  | 89   | 0.2288          | 0.9375   |
| 0.0028        | 90.0  | 90   | 0.2297          | 0.9375   |
| 0.0028        | 91.0  | 91   | 0.2313          | 0.9375   |
| 0.0028        | 92.0  | 92   | 0.2333          | 0.9375   |
| 0.0028        | 93.0  | 93   | 0.2355          | 0.9375   |
| 0.0028        | 94.0  | 94   | 0.2377          | 0.9375   |
| 0.0028        | 95.0  | 95   | 0.2406          | 0.9375   |
| 0.0028        | 96.0  | 96   | 0.2436          | 0.9375   |
| 0.0028        | 97.0  | 97   | 0.2486          | 0.9375   |
| 0.0028        | 98.0  | 98   | 0.2527          | 0.9375   |
| 0.0028        | 99.0  | 99   | 0.2570          | 0.9375   |
| 0.0022        | 100.0 | 100  | 0.2612          | 0.9375   |
| 0.0022        | 101.0 | 101  | 0.2649          | 0.9375   |
| 0.0022        | 102.0 | 102  | 0.2684          | 0.9375   |
| 0.0022        | 103.0 | 103  | 0.2722          | 0.9375   |
| 0.0022        | 104.0 | 104  | 0.2756          | 0.9375   |
| 0.0022        | 105.0 | 105  | 0.2787          | 0.9375   |
| 0.0022        | 106.0 | 106  | 0.2775          | 0.9375   |
| 0.0022        | 107.0 | 107  | 0.2748          | 0.9375   |
| 0.0022        | 108.0 | 108  | 0.2719          | 0.9375   |
| 0.0022        | 109.0 | 109  | 0.2684          | 0.9375   |
| 0.0018        | 110.0 | 110  | 0.2651          | 0.9375   |
| 0.0018        | 111.0 | 111  | 0.2619          | 0.9375   |
| 0.0018        | 112.0 | 112  | 0.2589          | 0.9375   |
| 0.0018        | 113.0 | 113  | 0.2561          | 0.9375   |
| 0.0018        | 114.0 | 114  | 0.2537          | 0.9375   |
| 0.0018        | 115.0 | 115  | 0.2517          | 0.9375   |
| 0.0018        | 116.0 | 116  | 0.2499          | 0.9375   |
| 0.0018        | 117.0 | 117  | 0.2491          | 0.9375   |
| 0.0018        | 118.0 | 118  | 0.2489          | 0.9375   |
| 0.0018        | 119.0 | 119  | 0.2487          | 0.9375   |
| 0.0015        | 120.0 | 120  | 0.2483          | 0.9375   |
| 0.0015        | 121.0 | 121  | 0.2483          | 0.9375   |
| 0.0015        | 122.0 | 122  | 0.2483          | 0.9375   |
| 0.0015        | 123.0 | 123  | 0.2485          | 0.9375   |
| 0.0015        | 124.0 | 124  | 0.2488          | 0.9375   |
| 0.0015        | 125.0 | 125  | 0.2490          | 0.9375   |
| 0.0015        | 126.0 | 126  | 0.2493          | 0.9375   |
| 0.0015        | 127.0 | 127  | 0.2497          | 0.9375   |
| 0.0015        | 128.0 | 128  | 0.2508          | 0.9375   |
| 0.0015        | 129.0 | 129  | 0.2507          | 0.9375   |
| 0.0013        | 130.0 | 130  | 0.2507          | 0.9375   |
| 0.0013        | 131.0 | 131  | 0.2511          | 0.9375   |
| 0.0013        | 132.0 | 132  | 0.2510          | 0.9375   |
| 0.0013        | 133.0 | 133  | 0.2514          | 0.9375   |
| 0.0013        | 134.0 | 134  | 0.2520          | 0.9375   |
| 0.0013        | 135.0 | 135  | 0.2527          | 0.9375   |
| 0.0013        | 136.0 | 136  | 0.2537          | 0.9375   |
| 0.0013        | 137.0 | 137  | 0.2547          | 0.9375   |
| 0.0013        | 138.0 | 138  | 0.2556          | 0.9375   |
| 0.0013        | 139.0 | 139  | 0.2564          | 0.9375   |
| 0.0011        | 140.0 | 140  | 0.2574          | 0.9375   |
| 0.0011        | 141.0 | 141  | 0.2587          | 0.9375   |
| 0.0011        | 142.0 | 142  | 0.2600          | 0.9375   |
| 0.0011        | 143.0 | 143  | 0.2614          | 0.9375   |
| 0.0011        | 144.0 | 144  | 0.2626          | 0.9375   |
| 0.0011        | 145.0 | 145  | 0.2638          | 0.9375   |
| 0.0011        | 146.0 | 146  | 0.2654          | 0.9375   |
| 0.0011        | 147.0 | 147  | 0.2674          | 0.9375   |
| 0.0011        | 148.0 | 148  | 0.2692          | 0.9375   |
| 0.0011        | 149.0 | 149  | 0.2706          | 0.9375   |
| 0.001         | 150.0 | 150  | 0.2717          | 0.9375   |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.4.0
- Tokenizers 0.13.3