transformers pytorch electra text-classification generated_from_trainer dataset:yelp_review_full license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- yelp_review_full
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: YELP_ELECTRA_5E
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: yelp_review_full
      type: yelp_review_full
      config: yelp_review_full
      split: train
      args: yelp_review_full
    metrics:
    - type: accuracy
      value: 0.96
      name: Accuracy
---

<!-- 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. -->

# YELP_ELECTRA_5E

This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the yelp_review_full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1658
- Accuracy: 0.96

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6872        | 0.03  | 50   | 0.6751          | 0.5867   |
| 0.6407        | 0.06  | 100  | 0.5811          | 0.86     |
| 0.5551        | 0.1   | 150  | 0.4980          | 0.8667   |
| 0.4784        | 0.13  | 200  | 0.3889          | 0.9333   |
| 0.412         | 0.16  | 250  | 0.3349          | 0.9333   |
| 0.3826        | 0.19  | 300  | 0.3138          | 0.9133   |
| 0.3629        | 0.22  | 350  | 0.2568          | 0.96     |
| 0.335         | 0.26  | 400  | 0.2352          | 0.9333   |
| 0.2966        | 0.29  | 450  | 0.1907          | 0.9667   |
| 0.2776        | 0.32  | 500  | 0.1898          | 0.96     |
| 0.2428        | 0.35  | 550  | 0.1771          | 0.9533   |
| 0.2577        | 0.38  | 600  | 0.1610          | 0.96     |
| 0.2252        | 0.42  | 650  | 0.1503          | 0.96     |
| 0.2273        | 0.45  | 700  | 0.1425          | 0.9667   |
| 0.2155        | 0.48  | 750  | 0.1417          | 0.96     |
| 0.2681        | 0.51  | 800  | 0.1682          | 0.94     |
| 0.195         | 0.54  | 850  | 0.1527          | 0.96     |
| 0.2133        | 0.58  | 900  | 0.1480          | 0.9533   |
| 0.1996        | 0.61  | 950  | 0.1516          | 0.9533   |
| 0.2123        | 0.64  | 1000 | 0.1645          | 0.94     |
| 0.2263        | 0.67  | 1050 | 0.1449          | 0.96     |
| 0.1941        | 0.7   | 1100 | 0.1445          | 0.96     |
| 0.2273        | 0.74  | 1150 | 0.1389          | 0.96     |
| 0.2156        | 0.77  | 1200 | 0.1541          | 0.9533   |
| 0.193         | 0.8   | 1250 | 0.1512          | 0.9533   |
| 0.1851        | 0.83  | 1300 | 0.1949          | 0.92     |
| 0.2041        | 0.86  | 1350 | 0.1531          | 0.96     |
| 0.1924        | 0.9   | 1400 | 0.1640          | 0.9533   |
| 0.2453        | 0.93  | 1450 | 0.1639          | 0.9467   |
| 0.1774        | 0.96  | 1500 | 0.1729          | 0.9467   |
| 0.1999        | 0.99  | 1550 | 0.1618          | 0.94     |
| 0.1998        | 1.02  | 1600 | 0.1628          | 0.9467   |
| 0.1607        | 1.06  | 1650 | 0.1608          | 0.94     |
| 0.1878        | 1.09  | 1700 | 0.1659          | 0.9467   |
| 0.1702        | 1.12  | 1750 | 0.1694          | 0.9467   |
| 0.1711        | 1.15  | 1800 | 0.1666          | 0.9467   |
| 0.1517        | 1.18  | 1850 | 0.1560          | 0.9533   |
| 0.1521        | 1.22  | 1900 | 0.1662          | 0.9467   |
| 0.2297        | 1.25  | 1950 | 0.2137          | 0.94     |
| 0.2046        | 1.28  | 2000 | 0.1793          | 0.94     |
| 0.1869        | 1.31  | 2050 | 0.1673          | 0.9467   |
| 0.1684        | 1.34  | 2100 | 0.1730          | 0.9467   |
| 0.1359        | 1.38  | 2150 | 0.1817          | 0.94     |
| 0.1595        | 1.41  | 2200 | 0.1709          | 0.9467   |
| 0.1458        | 1.44  | 2250 | 0.1660          | 0.94     |
| 0.1518        | 1.47  | 2300 | 0.1735          | 0.9467   |
| 0.1239        | 1.5   | 2350 | 0.1514          | 0.9533   |
| 0.2183        | 1.54  | 2400 | 0.1644          | 0.9467   |
| 0.1678        | 1.57  | 2450 | 0.1578          | 0.9467   |
| 0.1516        | 1.6   | 2500 | 0.1562          | 0.9467   |
| 0.2575        | 1.63  | 2550 | 0.1516          | 0.9467   |
| 0.1576        | 1.66  | 2600 | 0.1684          | 0.9533   |
| 0.1134        | 1.7   | 2650 | 0.1691          | 0.96     |
| 0.2075        | 1.73  | 2700 | 0.1586          | 0.96     |
| 0.1425        | 1.76  | 2750 | 0.1516          | 0.96     |
| 0.1426        | 1.79  | 2800 | 0.1499          | 0.96     |
| 0.1295        | 1.82  | 2850 | 0.1563          | 0.96     |
| 0.1253        | 1.86  | 2900 | 0.1576          | 0.9533   |
| 0.1801        | 1.89  | 2950 | 0.1563          | 0.9533   |
| 0.1513        | 1.92  | 3000 | 0.1522          | 0.96     |
| 0.1204        | 1.95  | 3050 | 0.1604          | 0.9533   |
| 0.2055        | 1.98  | 3100 | 0.1483          | 0.96     |
| 0.1461        | 2.02  | 3150 | 0.1532          | 0.96     |
| 0.1044        | 2.05  | 3200 | 0.1540          | 0.96     |
| 0.116         | 2.08  | 3250 | 0.1604          | 0.96     |
| 0.1098        | 2.11  | 3300 | 0.1632          | 0.96     |
| 0.1259        | 2.14  | 3350 | 0.1640          | 0.96     |
| 0.1137        | 2.18  | 3400 | 0.1684          | 0.9533   |
| 0.135         | 2.21  | 3450 | 0.1568          | 0.9467   |
| 0.1819        | 2.24  | 3500 | 0.1497          | 0.96     |
| 0.1612        | 2.27  | 3550 | 0.1569          | 0.96     |
| 0.1699        | 2.3   | 3600 | 0.1594          | 0.96     |
| 0.1488        | 2.34  | 3650 | 0.1727          | 0.96     |
| 0.1079        | 2.37  | 3700 | 0.1830          | 0.9533   |
| 0.1209        | 2.4   | 3750 | 0.1657          | 0.96     |
| 0.1619        | 2.43  | 3800 | 0.1556          | 0.96     |
| 0.1544        | 2.46  | 3850 | 0.1627          | 0.96     |
| 0.1717        | 2.5   | 3900 | 0.1597          | 0.96     |
| 0.1198        | 2.53  | 3950 | 0.1470          | 0.9467   |
| 0.0922        | 2.56  | 4000 | 0.1643          | 0.96     |
| 0.1399        | 2.59  | 4050 | 0.1577          | 0.9467   |
| 0.1491        | 2.62  | 4100 | 0.1557          | 0.96     |
| 0.146         | 2.66  | 4150 | 0.1596          | 0.96     |
| 0.1617        | 2.69  | 4200 | 0.1608          | 0.96     |
| 0.1463        | 2.72  | 4250 | 0.1601          | 0.9467   |
| 0.1342        | 2.75  | 4300 | 0.1624          | 0.96     |
| 0.1492        | 2.78  | 4350 | 0.1586          | 0.96     |
| 0.1672        | 2.82  | 4400 | 0.1582          | 0.96     |
| 0.1403        | 2.85  | 4450 | 0.1572          | 0.96     |
| 0.1173        | 2.88  | 4500 | 0.1630          | 0.96     |
| 0.1345        | 2.91  | 4550 | 0.1571          | 0.96     |
| 0.171         | 2.94  | 4600 | 0.1562          | 0.96     |
| 0.125         | 2.98  | 4650 | 0.1477          | 0.9533   |
| 0.1494        | 3.01  | 4700 | 0.1404          | 0.96     |
| 0.1234        | 3.04  | 4750 | 0.1494          | 0.96     |
| 0.0926        | 3.07  | 4800 | 0.1538          | 0.96     |
| 0.1188        | 3.1   | 4850 | 0.1565          | 0.96     |
| 0.0986        | 3.13  | 4900 | 0.1679          | 0.96     |
| 0.1242        | 3.17  | 4950 | 0.1686          | 0.96     |
| 0.1193        | 3.2   | 5000 | 0.1688          | 0.96     |
| 0.1548        | 3.23  | 5050 | 0.1639          | 0.96     |
| 0.1216        | 3.26  | 5100 | 0.1601          | 0.96     |
| 0.1068        | 3.29  | 5150 | 0.1799          | 0.94     |
| 0.1582        | 3.33  | 5200 | 0.1594          | 0.96     |
| 0.1454        | 3.36  | 5250 | 0.1594          | 0.96     |
| 0.1631        | 3.39  | 5300 | 0.1555          | 0.96     |
| 0.1323        | 3.42  | 5350 | 0.1548          | 0.9667   |
| 0.145         | 3.45  | 5400 | 0.1573          | 0.9667   |
| 0.1221        | 3.49  | 5450 | 0.1611          | 0.96     |
| 0.1034        | 3.52  | 5500 | 0.1653          | 0.96     |
| 0.1096        | 3.55  | 5550 | 0.1688          | 0.96     |
| 0.096         | 3.58  | 5600 | 0.1690          | 0.9533   |
| 0.1228        | 3.61  | 5650 | 0.1671          | 0.9533   |
| 0.1133        | 3.65  | 5700 | 0.1710          | 0.9533   |
| 0.0939        | 3.68  | 5750 | 0.1772          | 0.96     |
| 0.1252        | 3.71  | 5800 | 0.1706          | 0.9533   |
| 0.0726        | 3.74  | 5850 | 0.1685          | 0.96     |
| 0.1144        | 3.77  | 5900 | 0.1696          | 0.9533   |
| 0.0902        | 3.81  | 5950 | 0.1753          | 0.9533   |
| 0.1462        | 3.84  | 6000 | 0.1699          | 0.96     |
| 0.1019        | 3.87  | 6050 | 0.1677          | 0.96     |
| 0.1374        | 3.9   | 6100 | 0.1727          | 0.96     |
| 0.1246        | 3.93  | 6150 | 0.1711          | 0.96     |
| 0.1026        | 3.97  | 6200 | 0.1728          | 0.96     |
| 0.1081        | 4.0   | 6250 | 0.1745          | 0.96     |
| 0.1014        | 4.03  | 6300 | 0.1760          | 0.9533   |
| 0.1047        | 4.06  | 6350 | 0.1726          | 0.96     |
| 0.0989        | 4.09  | 6400 | 0.1748          | 0.96     |
| 0.117         | 4.13  | 6450 | 0.1736          | 0.96     |
| 0.1499        | 4.16  | 6500 | 0.1755          | 0.96     |
| 0.0911        | 4.19  | 6550 | 0.1761          | 0.96     |
| 0.1165        | 4.22  | 6600 | 0.1734          | 0.96     |
| 0.1072        | 4.25  | 6650 | 0.1693          | 0.96     |
| 0.1166        | 4.29  | 6700 | 0.1703          | 0.96     |
| 0.0987        | 4.32  | 6750 | 0.1715          | 0.9467   |
| 0.0996        | 4.35  | 6800 | 0.1700          | 0.96     |
| 0.1267        | 4.38  | 6850 | 0.1633          | 0.96     |
| 0.1374        | 4.41  | 6900 | 0.1642          | 0.9667   |
| 0.0699        | 4.45  | 6950 | 0.1628          | 0.96     |
| 0.0773        | 4.48  | 7000 | 0.1642          | 0.96     |
| 0.0903        | 4.51  | 7050 | 0.1649          | 0.96     |
| 0.1357        | 4.54  | 7100 | 0.1641          | 0.96     |
| 0.1252        | 4.57  | 7150 | 0.1659          | 0.9667   |
| 0.1013        | 4.61  | 7200 | 0.1663          | 0.96     |
| 0.1071        | 4.64  | 7250 | 0.1653          | 0.96     |
| 0.1094        | 4.67  | 7300 | 0.1671          | 0.96     |
| 0.1103        | 4.7   | 7350 | 0.1650          | 0.96     |
| 0.1169        | 4.73  | 7400 | 0.1656          | 0.96     |
| 0.0858        | 4.77  | 7450 | 0.1651          | 0.96     |
| 0.0925        | 4.8   | 7500 | 0.1669          | 0.96     |
| 0.1572        | 4.83  | 7550 | 0.1663          | 0.96     |
| 0.1125        | 4.86  | 7600 | 0.1655          | 0.96     |
| 0.1011        | 4.89  | 7650 | 0.1654          | 0.96     |
| 0.1307        | 4.93  | 7700 | 0.1656          | 0.96     |
| 0.1195        | 4.96  | 7750 | 0.1656          | 0.96     |
| 0.1004        | 4.99  | 7800 | 0.1658          | 0.96     |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.7.1
- Tokenizers 0.13.2
