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# Bert_class_1e-06_266epoch

This model is a fine-tuned version of [guoluo/Bert_1.5e_07](https://huggingface.co/guoluo/Bert_1.5e_07) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0213
- Train Accuracy: 0.9976
- Validation Loss: 1.4092
- Validation Accuracy: 0.7254
- Train Lr: 9.653716e-07
- Epoch: 265

## 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:
- optimizer: {'name': 'Adam', 'learning_rate': 9.653716e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Lr     | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:------------:|:-----:|
| 1.2823     | 0.4776         | 1.0993          | 0.6761              | 1e-06        | 0     |
| 1.0339     | 0.6776         | 0.9839          | 0.6761              | 9.99999e-07  | 1     |
| 0.9705     | 0.6776         | 0.9658          | 0.6761              | 9.999969e-07 | 2     |
| 0.9486     | 0.6776         | 0.9590          | 0.6761              | 9.99994e-07  | 3     |
| 0.9369     | 0.6776         | 0.9544          | 0.6761              | 9.9999e-07   | 4     |
| 0.9332     | 0.6776         | 0.9470          | 0.6761              | 9.99985e-07  | 5     |
| 0.9205     | 0.6776         | 0.9421          | 0.6761              | 9.99979e-07  | 6     |
| 0.9135     | 0.6776         | 0.9374          | 0.6761              | 9.999719e-07 | 7     |
| 0.9113     | 0.6776         | 0.9340          | 0.6761              | 9.99964e-07  | 8     |
| 0.9005     | 0.6776         | 0.9294          | 0.6761              | 9.99955e-07  | 9     |
| 0.8896     | 0.6776         | 0.9242          | 0.6761              | 9.99945e-07  | 10    |
| 0.8746     | 0.6800         | 0.9191          | 0.6761              | 9.99934e-07  | 11    |
| 0.8649     | 0.6824         | 0.9143          | 0.6761              | 9.999219e-07 | 12    |
| 0.8621     | 0.6847         | 0.9095          | 0.6761              | 9.999089e-07 | 13    |
| 0.8506     | 0.6847         | 0.9019          | 0.6761              | 9.99895e-07  | 14    |
| 0.8434     | 0.6800         | 0.8943          | 0.6761              | 9.9988e-07   | 15    |
| 0.8286     | 0.6871         | 0.8885          | 0.6761              | 9.998639e-07 | 16    |
| 0.8239     | 0.6824         | 0.8814          | 0.6761              | 9.998469e-07 | 17    |
| 0.8181     | 0.6894         | 0.8785          | 0.6761              | 9.998289e-07 | 18    |
| 0.7962     | 0.6894         | 0.8731          | 0.6690              | 9.998099e-07 | 19    |
| 0.7908     | 0.7012         | 0.8671          | 0.6690              | 9.997899e-07 | 20    |
| 0.7640     | 0.6988         | 0.8641          | 0.6761              | 9.997689e-07 | 21    |
| 0.7644     | 0.7035         | 0.8590          | 0.6831              | 9.997469e-07 | 22    |
| 0.7512     | 0.7200         | 0.8558          | 0.6831              | 9.99724e-07  | 23    |
| 0.7394     | 0.7200         | 0.8527          | 0.6972              | 9.997e-07    | 24    |
| 0.7366     | 0.7271         | 0.8501          | 0.7113              | 9.99675e-07  | 25    |
| 0.7293     | 0.7247         | 0.8471          | 0.7042              | 9.996489e-07 | 26    |
| 0.7189     | 0.7529         | 0.8479          | 0.7113              | 9.99622e-07  | 27    |
| 0.7077     | 0.7341         | 0.8411          | 0.7183              | 9.99594e-07  | 28    |
| 0.6965     | 0.7671         | 0.8409          | 0.7183              | 9.99565e-07  | 29    |
| 0.6838     | 0.7482         | 0.8372          | 0.7113              | 9.99535e-07  | 30    |
| 0.6835     | 0.7506         | 0.8362          | 0.7113              | 9.99504e-07  | 31    |
| 0.6702     | 0.7812         | 0.8365          | 0.6901              | 9.99472e-07  | 32    |
| 0.6623     | 0.7812         | 0.8323          | 0.7113              | 9.994391e-07 | 33    |
| 0.6565     | 0.7553         | 0.8298          | 0.6972              | 9.994051e-07 | 34    |
| 0.6452     | 0.7718         | 0.8291          | 0.6901              | 9.993701e-07 | 35    |
| 0.6396     | 0.7718         | 0.8285          | 0.7113              | 9.993341e-07 | 36    |
| 0.6299     | 0.7765         | 0.8262          | 0.6831              | 9.992972e-07 | 37    |
| 0.6230     | 0.7953         | 0.8364          | 0.7113              | 9.992592e-07 | 38    |
| 0.6095     | 0.7741         | 0.8233          | 0.7113              | 9.992202e-07 | 39    |
| 0.6193     | 0.7718         | 0.8206          | 0.7113              | 9.991802e-07 | 40    |
| 0.6008     | 0.7859         | 0.8260          | 0.7254              | 9.991393e-07 | 41    |
| 0.5967     | 0.7859         | 0.8199          | 0.7254              | 9.990973e-07 | 42    |
| 0.5883     | 0.7835         | 0.8189          | 0.7183              | 9.990544e-07 | 43    |
| 0.5751     | 0.8071         | 0.8279          | 0.7324              | 9.990104e-07 | 44    |
| 0.5709     | 0.8000         | 0.8204          | 0.7324              | 9.989654e-07 | 45    |
| 0.5697     | 0.8047         | 0.8229          | 0.7254              | 9.989195e-07 | 46    |
| 0.5580     | 0.8094         | 0.8152          | 0.7254              | 9.988726e-07 | 47    |
| 0.5595     | 0.8071         | 0.8275          | 0.7324              | 9.988246e-07 | 48    |
| 0.5486     | 0.7929         | 0.8168          | 0.7324              | 9.987757e-07 | 49    |
| 0.5400     | 0.8094         | 0.8239          | 0.7254              | 9.987258e-07 | 50    |
| 0.5352     | 0.8071         | 0.8190          | 0.7183              | 9.986749e-07 | 51    |
| 0.5141     | 0.8235         | 0.8171          | 0.7183              | 9.986229e-07 | 52    |
| 0.5324     | 0.8024         | 0.8191          | 0.7183              | 9.985699e-07 | 53    |
| 0.5123     | 0.8024         | 0.8279          | 0.7254              | 9.98516e-07  | 54    |
| 0.5151     | 0.8165         | 0.8213          | 0.7113              | 9.984611e-07 | 55    |
| 0.4986     | 0.8118         | 0.8176          | 0.7183              | 9.984052e-07 | 56    |
| 0.4925     | 0.8259         | 0.8208          | 0.7113              | 9.983482e-07 | 57    |
| 0.4848     | 0.8188         | 0.8182          | 0.7042              | 9.982904e-07 | 58    |
| 0.4952     | 0.8282         | 0.8214          | 0.7113              | 9.982315e-07 | 59    |
| 0.4837     | 0.8329         | 0.8192          | 0.7113              | 9.981716e-07 | 60    |
| 0.4513     | 0.8518         | 0.8224          | 0.7183              | 9.981106e-07 | 61    |
| 0.4628     | 0.8376         | 0.8227          | 0.7183              | 9.980488e-07 | 62    |
| 0.4633     | 0.8447         | 0.8246          | 0.7183              | 9.979859e-07 | 63    |
| 0.4472     | 0.8447         | 0.8256          | 0.7113              | 9.97922e-07  | 64    |
| 0.4529     | 0.8306         | 0.8285          | 0.7183              | 9.978571e-07 | 65    |
| 0.4579     | 0.8329         | 0.8331          | 0.7042              | 9.977913e-07 | 66    |
| 0.4326     | 0.8376         | 0.8278          | 0.7113              | 9.977244e-07 | 67    |
| 0.4255     | 0.8447         | 0.8265          | 0.7113              | 9.976566e-07 | 68    |
| 0.4322     | 0.8494         | 0.8293          | 0.7042              | 9.975878e-07 | 69    |
| 0.4189     | 0.8424         | 0.8382          | 0.7042              | 9.97518e-07  | 70    |
| 0.4236     | 0.8494         | 0.8302          | 0.7113              | 9.974472e-07 | 71    |
| 0.4025     | 0.8494         | 0.8364          | 0.7042              | 9.973753e-07 | 72    |
| 0.4225     | 0.8659         | 0.8370          | 0.7113              | 9.973025e-07 | 73    |
| 0.4027     | 0.8541         | 0.8377          | 0.7042              | 9.972288e-07 | 74    |
| 0.4090     | 0.8588         | 0.8381          | 0.7113              | 9.97154e-07  | 75    |
| 0.3887     | 0.8682         | 0.8378          | 0.7042              | 9.970781e-07 | 76    |
| 0.4022     | 0.8706         | 0.8406          | 0.7042              | 9.970014e-07 | 77    |
| 0.3867     | 0.8682         | 0.8457          | 0.7113              | 9.969236e-07 | 78    |
| 0.3689     | 0.8706         | 0.8460          | 0.7113              | 9.968448e-07 | 79    |
| 0.3728     | 0.8729         | 0.8527          | 0.7042              | 9.967652e-07 | 80    |
| 0.3754     | 0.8706         | 0.8525          | 0.7042              | 9.966844e-07 | 81    |
| 0.3580     | 0.8871         | 0.8531          | 0.7113              | 9.966027e-07 | 82    |
| 0.3718     | 0.8659         | 0.8593          | 0.7042              | 9.965199e-07 | 83    |
| 0.3535     | 0.8800         | 0.8593          | 0.7324              | 9.964363e-07 | 84    |
| 0.3342     | 0.8824         | 0.8704          | 0.6972              | 9.963516e-07 | 85    |
| 0.3341     | 0.8918         | 0.8630          | 0.7324              | 9.962658e-07 | 86    |
| 0.3371     | 0.8776         | 0.8698          | 0.7042              | 9.961792e-07 | 87    |
| 0.3338     | 0.8847         | 0.8689          | 0.7042              | 9.960916e-07 | 88    |
| 0.3295     | 0.8776         | 0.8753          | 0.6972              | 9.960029e-07 | 89    |
| 0.3259     | 0.8847         | 0.8696          | 0.7183              | 9.959133e-07 | 90    |
| 0.3290     | 0.8776         | 0.8726          | 0.7183              | 9.958227e-07 | 91    |
| 0.3117     | 0.8988         | 0.8798          | 0.7324              | 9.95731e-07  | 92    |
| 0.3075     | 0.8965         | 0.8836          | 0.7254              | 9.956385e-07 | 93    |
| 0.2905     | 0.9129         | 0.8868          | 0.7183              | 9.95545e-07  | 94    |
| 0.2979     | 0.9153         | 0.8888          | 0.7183              | 9.954504e-07 | 95    |
| 0.3031     | 0.8800         | 0.8956          | 0.7324              | 9.953548e-07 | 96    |
| 0.2883     | 0.9035         | 0.8984          | 0.7042              | 9.952582e-07 | 97    |
| 0.2835     | 0.9106         | 0.8969          | 0.7254              | 9.951607e-07 | 98    |
| 0.2803     | 0.9059         | 0.8998          | 0.7254              | 9.950621e-07 | 99    |
| 0.2812     | 0.9176         | 0.9034          | 0.7254              | 9.949626e-07 | 100   |
| 0.2714     | 0.9153         | 0.9028          | 0.7183              | 9.948621e-07 | 101   |
| 0.2905     | 0.9059         | 0.9144          | 0.7254              | 9.947606e-07 | 102   |
| 0.2631     | 0.9224         | 0.9143          | 0.6972              | 9.946582e-07 | 103   |
| 0.2679     | 0.9176         | 0.9180          | 0.7254              | 9.945547e-07 | 104   |
| 0.2583     | 0.9224         | 0.9206          | 0.7042              | 9.944504e-07 | 105   |
| 0.2613     | 0.9200         | 0.9286          | 0.7254              | 9.94345e-07  | 106   |
| 0.2669     | 0.9012         | 0.9237          | 0.7254              | 9.942386e-07 | 107   |
| 0.2571     | 0.9153         | 0.9351          | 0.7254              | 9.941313e-07 | 108   |
| 0.2570     | 0.9106         | 0.9306          | 0.7324              | 9.940229e-07 | 109   |
| 0.2344     | 0.9200         | 0.9396          | 0.7183              | 9.939135e-07 | 110   |
| 0.2359     | 0.9271         | 0.9369          | 0.7394              | 9.938033e-07 | 111   |
| 0.2395     | 0.9271         | 0.9522          | 0.7042              | 9.93692e-07  | 112   |
| 0.2408     | 0.9247         | 0.9509          | 0.7183              | 9.935796e-07 | 113   |
| 0.2330     | 0.9294         | 0.9561          | 0.7042              | 9.934664e-07 | 114   |
| 0.2247     | 0.9271         | 0.9539          | 0.7183              | 9.933522e-07 | 115   |
| 0.2192     | 0.9318         | 0.9705          | 0.7042              | 9.93237e-07  | 116   |
| 0.2173     | 0.9341         | 0.9621          | 0.7254              | 9.931208e-07 | 117   |
| 0.2138     | 0.9200         | 0.9679          | 0.7183              | 9.930036e-07 | 118   |
| 0.2239     | 0.9176         | 0.9733          | 0.6972              | 9.928855e-07 | 119   |
| 0.2188     | 0.9341         | 0.9838          | 0.7042              | 9.927663e-07 | 120   |
| 0.2116     | 0.9341         | 0.9764          | 0.7324              | 9.926462e-07 | 121   |
| 0.2061     | 0.9200         | 0.9840          | 0.7183              | 9.925251e-07 | 122   |
| 0.2061     | 0.9435         | 0.9798          | 0.7254              | 9.92403e-07  | 123   |
| 0.2049     | 0.9388         | 1.0056          | 0.7042              | 9.9228e-07   | 124   |
| 0.1947     | 0.9459         | 0.9898          | 0.7254              | 9.92156e-07  | 125   |
| 0.1990     | 0.9365         | 0.9935          | 0.6972              | 9.92031e-07  | 126   |
| 0.1945     | 0.9506         | 0.9997          | 0.7113              | 9.91905e-07  | 127   |
| 0.1955     | 0.9365         | 0.9972          | 0.7254              | 9.91778e-07  | 128   |
| 0.1845     | 0.9459         | 1.0044          | 0.7254              | 9.916502e-07 | 129   |
| 0.1722     | 0.9388         | 1.0057          | 0.7183              | 9.915212e-07 | 130   |
| 0.1693     | 0.9576         | 1.0118          | 0.7113              | 9.913914e-07 | 131   |
| 0.1837     | 0.9318         | 1.0126          | 0.7113              | 9.912605e-07 | 132   |
| 0.1894     | 0.9412         | 1.0254          | 0.6972              | 9.911287e-07 | 133   |
| 0.1702     | 0.9506         | 1.0156          | 0.7254              | 9.909959e-07 | 134   |
| 0.1697     | 0.9576         | 1.0184          | 0.7183              | 9.908621e-07 | 135   |
| 0.1694     | 0.9459         | 1.0179          | 0.7394              | 9.907274e-07 | 136   |
| 0.1587     | 0.9553         | 1.0255          | 0.7183              | 9.905916e-07 | 137   |
| 0.1590     | 0.9576         | 1.0308          | 0.7324              | 9.90455e-07  | 138   |
| 0.1670     | 0.9576         | 1.0376          | 0.7254              | 9.903173e-07 | 139   |
| 0.1606     | 0.9482         | 1.0405          | 0.7254              | 9.901787e-07 | 140   |
| 0.1605     | 0.9576         | 1.0468          | 0.7324              | 9.900391e-07 | 141   |
| 0.1476     | 0.9624         | 1.0470          | 0.7183              | 9.898986e-07 | 142   |
| 0.1493     | 0.9553         | 1.0530          | 0.7183              | 9.89757e-07  | 143   |
| 0.1292     | 0.9718         | 1.0573          | 0.7183              | 9.896146e-07 | 144   |
| 0.1393     | 0.9694         | 1.0655          | 0.7183              | 9.894711e-07 | 145   |
| 0.1458     | 0.9529         | 1.0627          | 0.7324              | 9.893266e-07 | 146   |
| 0.1319     | 0.9694         | 1.0809          | 0.7042              | 9.891812e-07 | 147   |
| 0.1358     | 0.9624         | 1.0716          | 0.7254              | 9.890348e-07 | 148   |
| 0.1514     | 0.9624         | 1.0863          | 0.7113              | 9.888875e-07 | 149   |
| 0.1384     | 0.9624         | 1.0777          | 0.7324              | 9.887391e-07 | 150   |
| 0.1286     | 0.9694         | 1.0907          | 0.7113              | 9.885898e-07 | 151   |
| 0.1316     | 0.9694         | 1.0914          | 0.7183              | 9.884395e-07 | 152   |
| 0.1310     | 0.9671         | 1.0933          | 0.7183              | 9.882883e-07 | 153   |
| 0.1331     | 0.9647         | 1.0940          | 0.7254              | 9.881361e-07 | 154   |
| 0.1225     | 0.9718         | 1.0998          | 0.7183              | 9.87983e-07  | 155   |
| 0.1176     | 0.9718         | 1.1027          | 0.7183              | 9.878289e-07 | 156   |
| 0.1205     | 0.9671         | 1.1042          | 0.7183              | 9.876738e-07 | 157   |
| 0.1295     | 0.9647         | 1.1100          | 0.7183              | 9.875179e-07 | 158   |
| 0.1097     | 0.9718         | 1.1243          | 0.7183              | 9.873609e-07 | 159   |
| 0.1072     | 0.9812         | 1.1196          | 0.7183              | 9.87203e-07  | 160   |
| 0.1063     | 0.9788         | 1.1262          | 0.7254              | 9.87044e-07  | 161   |
| 0.1208     | 0.9647         | 1.1248          | 0.7042              | 9.868842e-07 | 162   |
| 0.1120     | 0.9694         | 1.1296          | 0.7183              | 9.867233e-07 | 163   |
| 0.1123     | 0.9694         | 1.1367          | 0.7183              | 9.865615e-07 | 164   |
| 0.0972     | 0.9882         | 1.1382          | 0.7183              | 9.863987e-07 | 165   |
| 0.1175     | 0.9647         | 1.1515          | 0.7254              | 9.86235e-07  | 166   |
| 0.1136     | 0.9741         | 1.1551          | 0.7183              | 9.860704e-07 | 167   |
| 0.0929     | 0.9859         | 1.1558          | 0.7183              | 9.859048e-07 | 168   |
| 0.0895     | 0.9812         | 1.1637          | 0.7183              | 9.857382e-07 | 169   |
| 0.1013     | 0.9718         | 1.1599          | 0.7183              | 9.855706e-07 | 170   |
| 0.1026     | 0.9718         | 1.1607          | 0.7183              | 9.854022e-07 | 171   |
| 0.0983     | 0.9788         | 1.1601          | 0.7254              | 9.852326e-07 | 172   |
| 0.0809     | 0.9882         | 1.1673          | 0.7183              | 9.850622e-07 | 173   |
| 0.0923     | 0.9765         | 1.1763          | 0.7254              | 9.848909e-07 | 174   |
| 0.0840     | 0.9835         | 1.1775          | 0.7254              | 9.847186e-07 | 175   |
| 0.0887     | 0.9812         | 1.1881          | 0.7254              | 9.845453e-07 | 176   |
| 0.0922     | 0.9718         | 1.1893          | 0.7254              | 9.84371e-07  | 177   |
| 0.0794     | 0.9882         | 1.1944          | 0.7254              | 9.841958e-07 | 178   |
| 0.0826     | 0.9835         | 1.2019          | 0.7113              | 9.840197e-07 | 179   |
| 0.0725     | 0.9929         | 1.1993          | 0.7254              | 9.838426e-07 | 180   |
| 0.0727     | 0.9929         | 1.2000          | 0.7113              | 9.836646e-07 | 181   |
| 0.0759     | 0.9859         | 1.2061          | 0.7254              | 9.834856e-07 | 182   |
| 0.0945     | 0.9788         | 1.2160          | 0.7113              | 9.833057e-07 | 183   |
| 0.0796     | 0.9812         | 1.2021          | 0.7254              | 9.831248e-07 | 184   |
| 0.0792     | 0.9835         | 1.2152          | 0.7183              | 9.829429e-07 | 185   |
| 0.0803     | 0.9859         | 1.2169          | 0.7183              | 9.827601e-07 | 186   |
| 0.0835     | 0.9812         | 1.2237          | 0.7183              | 9.825764e-07 | 187   |
| 0.0680     | 0.9859         | 1.2224          | 0.7113              | 9.823916e-07 | 188   |
| 0.0898     | 0.9812         | 1.2188          | 0.7183              | 9.82206e-07  | 189   |
| 0.0780     | 0.9788         | 1.2196          | 0.7113              | 9.820194e-07 | 190   |
| 0.0759     | 0.9835         | 1.2473          | 0.6901              | 9.818318e-07 | 191   |
| 0.0915     | 0.9694         | 1.2324          | 0.7042              | 9.816433e-07 | 192   |
| 0.0767     | 0.9859         | 1.2285          | 0.7042              | 9.814539e-07 | 193   |
| 0.0663     | 0.9906         | 1.2300          | 0.7113              | 9.812636e-07 | 194   |
| 0.0795     | 0.9835         | 1.2481          | 0.7042              | 9.810723e-07 | 195   |
| 0.0686     | 0.9882         | 1.2451          | 0.7042              | 9.8088e-07   | 196   |
| 0.0702     | 0.9835         | 1.2363          | 0.7113              | 9.806869e-07 | 197   |
| 0.0751     | 0.9812         | 1.2419          | 0.7113              | 9.804927e-07 | 198   |
| 0.0680     | 0.9859         | 1.2398          | 0.7113              | 9.802976e-07 | 199   |
| 0.0543     | 0.9882         | 1.2477          | 0.7042              | 9.801016e-07 | 200   |
| 0.0666     | 0.9835         | 1.2703          | 0.6972              | 9.799047e-07 | 201   |
| 0.0704     | 0.9859         | 1.2476          | 0.7042              | 9.797068e-07 | 202   |
| 0.0634     | 0.9859         | 1.2609          | 0.7042              | 9.79508e-07  | 203   |
| 0.0650     | 0.9882         | 1.2557          | 0.7113              | 9.793082e-07 | 204   |
| 0.0533     | 0.9976         | 1.2743          | 0.7113              | 9.791074e-07 | 205   |
| 0.0585     | 0.9882         | 1.2753          | 0.7113              | 9.789057e-07 | 206   |
| 0.0596     | 0.9929         | 1.2881          | 0.7042              | 9.787032e-07 | 207   |
| 0.0593     | 0.9953         | 1.2948          | 0.7042              | 9.784997e-07 | 208   |
| 0.0625     | 0.9859         | 1.2883          | 0.7042              | 9.782952e-07 | 209   |
| 0.0556     | 0.9929         | 1.2802          | 0.7113              | 9.780898e-07 | 210   |
| 0.0615     | 0.9812         | 1.2972          | 0.7113              | 9.778835e-07 | 211   |
| 0.0621     | 0.9859         | 1.3030          | 0.6972              | 9.776762e-07 | 212   |
| 0.0559     | 0.9882         | 1.2857          | 0.7183              | 9.774681e-07 | 213   |
| 0.0635     | 0.9859         | 1.3151          | 0.7042              | 9.772589e-07 | 214   |
| 0.0544     | 0.9882         | 1.2969          | 0.7113              | 9.770488e-07 | 215   |
| 0.0477     | 0.9976         | 1.2981          | 0.7113              | 9.768378e-07 | 216   |
| 0.0554     | 0.9882         | 1.3156          | 0.7113              | 9.766259e-07 | 217   |
| 0.0548     | 0.9906         | 1.3094          | 0.7113              | 9.76413e-07  | 218   |
| 0.0470     | 0.9976         | 1.3185          | 0.7042              | 9.761993e-07 | 219   |
| 0.0489     | 0.9953         | 1.3197          | 0.7042              | 9.759846e-07 | 220   |
| 0.0436     | 0.9976         | 1.3024          | 0.7113              | 9.757689e-07 | 221   |
| 0.0456     | 0.9953         | 1.3061          | 0.7113              | 9.755523e-07 | 222   |
| 0.0417     | 0.9976         | 1.3189          | 0.7042              | 9.753348e-07 | 223   |
| 0.0416     | 0.9953         | 1.3220          | 0.7042              | 9.751164e-07 | 224   |
| 0.0369     | 1.0            | 1.3211          | 0.7113              | 9.748971e-07 | 225   |
| 0.0570     | 0.9859         | 1.3274          | 0.7042              | 9.746768e-07 | 226   |
| 0.0416     | 0.9929         | 1.3409          | 0.6901              | 9.744556e-07 | 227   |
| 0.0314     | 1.0            | 1.3376          | 0.7042              | 9.742334e-07 | 228   |
| 0.0421     | 0.9929         | 1.3242          | 0.7183              | 9.740104e-07 | 229   |
| 0.0398     | 0.9976         | 1.3331          | 0.7042              | 9.737864e-07 | 230   |
| 0.0483     | 0.9882         | 1.3431          | 0.7042              | 9.735616e-07 | 231   |
| 0.0356     | 0.9953         | 1.3526          | 0.7042              | 9.733358e-07 | 232   |
| 0.0392     | 0.9953         | 1.3500          | 0.7042              | 9.731091e-07 | 233   |
| 0.0413     | 0.9953         | 1.3659          | 0.6972              | 9.728815e-07 | 234   |
| 0.0371     | 0.9929         | 1.3473          | 0.7042              | 9.726529e-07 | 235   |
| 0.0383     | 0.9929         | 1.3689          | 0.6972              | 9.724233e-07 | 236   |
| 0.0452     | 0.9953         | 1.3552          | 0.7042              | 9.721929e-07 | 237   |
| 0.0408     | 0.9953         | 1.3430          | 0.7113              | 9.719615e-07 | 238   |
| 0.0507     | 0.9906         | 1.3656          | 0.7042              | 9.717293e-07 | 239   |
| 0.0437     | 0.9953         | 1.3735          | 0.6972              | 9.714961e-07 | 240   |
| 0.0368     | 0.9929         | 1.3713          | 0.7113              | 9.71262e-07  | 241   |
| 0.0381     | 0.9976         | 1.3793          | 0.6972              | 9.71027e-07  | 242   |
| 0.0369     | 0.9953         | 1.3835          | 0.7113              | 9.707911e-07 | 243   |
| 0.0343     | 0.9976         | 1.3778          | 0.7183              | 9.705543e-07 | 244   |
| 0.0321     | 0.9929         | 1.3790          | 0.7113              | 9.703166e-07 | 245   |
| 0.0367     | 0.9953         | 1.3830          | 0.7113              | 9.70078e-07  | 246   |
| 0.0302     | 0.9953         | 1.3828          | 0.7113              | 9.698384e-07 | 247   |
| 0.0333     | 0.9929         | 1.3821          | 0.7113              | 9.69598e-07  | 248   |
| 0.0386     | 0.9929         | 1.3962          | 0.7113              | 9.693566e-07 | 249   |
| 0.0335     | 0.9929         | 1.4009          | 0.7113              | 9.691144e-07 | 250   |
| 0.0481     | 0.9835         | 1.3924          | 0.7113              | 9.688712e-07 | 251   |
| 0.0361     | 0.9953         | 1.3923          | 0.7113              | 9.686271e-07 | 252   |
| 0.0343     | 0.9906         | 1.4150          | 0.6972              | 9.683821e-07 | 253   |
| 0.0429     | 0.9906         | 1.3859          | 0.7254              | 9.681362e-07 | 254   |
| 0.0353     | 0.9906         | 1.4019          | 0.7113              | 9.678894e-07 | 255   |
| 0.0317     | 0.9929         | 1.4072          | 0.7113              | 9.676417e-07 | 256   |
| 0.0231     | 1.0            | 1.4038          | 0.7113              | 9.67393e-07  | 257   |
| 0.0240     | 1.0            | 1.4172          | 0.7183              | 9.671435e-07 | 258   |
| 0.0358     | 0.9882         | 1.4316          | 0.7042              | 9.66893e-07  | 259   |
| 0.0381     | 0.9906         | 1.4047          | 0.7254              | 9.666417e-07 | 260   |
| 0.0311     | 0.9929         | 1.4056          | 0.7113              | 9.663894e-07 | 261   |
| 0.0274     | 0.9976         | 1.4240          | 0.7113              | 9.661362e-07 | 262   |
| 0.0305     | 0.9976         | 1.4322          | 0.7113              | 9.658822e-07 | 263   |
| 0.0322     | 0.9929         | 1.4127          | 0.7183              | 9.656274e-07 | 264   |
| 0.0213     | 0.9976         | 1.4092          | 0.7254              | 9.653716e-07 | 265   |


### Framework versions

- Transformers 4.30.0.dev0
- TensorFlow 2.9.1
- Datasets 2.8.0
- Tokenizers 0.13.2

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "Bert_class_1e-06_266epoch", "results": []}]}
transformers tf bert text-classification generated_from_keras_callback autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 

Bert\_class\_1e-06\_266epoch
============================


This model is a fine-tuned version of guoluo/Bert\_1.5e\_07 on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 0.0213
* Train Accuracy: 0.9976
* Validation Loss: 1.4092
* Validation Accuracy: 0.7254
* Train Lr: 9.653716e-07
* Epoch: 265


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:


* optimizer: {'name': 'Adam', 'learning\_rate': 9.653716e-07, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.30.0.dev0
* TensorFlow 2.9.1
* Datasets 2.8.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 9.653716e-07, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.30.0.dev0
* TensorFlow 2.9.1
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 9.653716e-07, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.30.0.dev0
* TensorFlow 2.9.1
* Datasets 2.8.0
* Tokenizers 0.13.2