---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230903121524'
  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. -->

# 20230903121524

This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9097
- Accuracy: 0.6442

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 11
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 80.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 340   | 0.7286          | 0.5      |
| 0.7482        | 2.0   | 680   | 0.7273          | 0.5      |
| 0.7442        | 3.0   | 1020  | 0.7313          | 0.5      |
| 0.7442        | 4.0   | 1360  | 0.7599          | 0.5      |
| 0.7355        | 5.0   | 1700  | 0.7222          | 0.6113   |
| 0.6979        | 6.0   | 2040  | 0.7373          | 0.6160   |
| 0.6979        | 7.0   | 2380  | 0.6950          | 0.6583   |
| 0.6629        | 8.0   | 2720  | 0.6711          | 0.6740   |
| 0.6282        | 9.0   | 3060  | 0.7543          | 0.6599   |
| 0.6282        | 10.0  | 3400  | 0.7217          | 0.6520   |
| 0.6023        | 11.0  | 3740  | 0.7513          | 0.6426   |
| 0.5705        | 12.0  | 4080  | 0.6886          | 0.6693   |
| 0.5705        | 13.0  | 4420  | 0.6779          | 0.6755   |
| 0.5607        | 14.0  | 4760  | 0.7978          | 0.6489   |
| 0.527         | 15.0  | 5100  | 0.6722          | 0.6771   |
| 0.527         | 16.0  | 5440  | 0.8047          | 0.6317   |
| 0.5226        | 17.0  | 5780  | 0.7721          | 0.6740   |
| 0.5133        | 18.0  | 6120  | 0.7900          | 0.6552   |
| 0.5133        | 19.0  | 6460  | 0.7563          | 0.6599   |
| 0.5054        | 20.0  | 6800  | 0.8456          | 0.6411   |
| 0.4836        | 21.0  | 7140  | 0.8232          | 0.6426   |
| 0.4836        | 22.0  | 7480  | 0.7993          | 0.6270   |
| 0.4796        | 23.0  | 7820  | 0.8026          | 0.6426   |
| 0.4659        | 24.0  | 8160  | 0.8306          | 0.6254   |
| 0.4669        | 25.0  | 8500  | 0.8153          | 0.6505   |
| 0.4669        | 26.0  | 8840  | 0.8499          | 0.6489   |
| 0.4487        | 27.0  | 9180  | 0.8366          | 0.6332   |
| 0.4499        | 28.0  | 9520  | 0.7661          | 0.6567   |
| 0.4499        | 29.0  | 9860  | 0.7668          | 0.6630   |
| 0.4483        | 30.0  | 10200 | 0.8147          | 0.6520   |
| 0.4303        | 31.0  | 10540 | 0.8030          | 0.6442   |
| 0.4303        | 32.0  | 10880 | 0.8346          | 0.6285   |
| 0.4272        | 33.0  | 11220 | 0.7779          | 0.6489   |
| 0.43          | 34.0  | 11560 | 0.8193          | 0.6599   |
| 0.43          | 35.0  | 11900 | 0.8792          | 0.6411   |
| 0.4139        | 36.0  | 12240 | 0.8091          | 0.6332   |
| 0.4139        | 37.0  | 12580 | 0.7939          | 0.6458   |
| 0.4139        | 38.0  | 12920 | 0.8626          | 0.6505   |
| 0.4102        | 39.0  | 13260 | 0.8111          | 0.6442   |
| 0.4065        | 40.0  | 13600 | 0.8054          | 0.6583   |
| 0.4065        | 41.0  | 13940 | 0.8704          | 0.6520   |
| 0.4049        | 42.0  | 14280 | 0.8441          | 0.6348   |
| 0.3978        | 43.0  | 14620 | 0.8723          | 0.6411   |
| 0.3978        | 44.0  | 14960 | 0.8747          | 0.6552   |
| 0.4074        | 45.0  | 15300 | 0.8662          | 0.6505   |
| 0.3952        | 46.0  | 15640 | 0.8432          | 0.6442   |
| 0.3952        | 47.0  | 15980 | 0.8837          | 0.6552   |
| 0.3868        | 48.0  | 16320 | 0.8219          | 0.6583   |
| 0.3805        | 49.0  | 16660 | 0.7792          | 0.6536   |
| 0.386         | 50.0  | 17000 | 0.8385          | 0.6520   |
| 0.386         | 51.0  | 17340 | 0.8554          | 0.6505   |
| 0.3869        | 52.0  | 17680 | 0.8655          | 0.6583   |
| 0.3772        | 53.0  | 18020 | 0.8613          | 0.6552   |
| 0.3772        | 54.0  | 18360 | 0.9268          | 0.6364   |
| 0.3744        | 55.0  | 18700 | 0.8710          | 0.6473   |
| 0.378         | 56.0  | 19040 | 0.9222          | 0.6395   |
| 0.378         | 57.0  | 19380 | 0.8803          | 0.6536   |
| 0.3702        | 58.0  | 19720 | 0.9055          | 0.6364   |
| 0.3687        | 59.0  | 20060 | 0.8305          | 0.6630   |
| 0.3687        | 60.0  | 20400 | 0.9229          | 0.6395   |
| 0.3677        | 61.0  | 20740 | 0.9214          | 0.6301   |
| 0.3635        | 62.0  | 21080 | 0.9074          | 0.6458   |
| 0.3635        | 63.0  | 21420 | 0.8890          | 0.6520   |
| 0.3613        | 64.0  | 21760 | 0.8725          | 0.6426   |
| 0.3634        | 65.0  | 22100 | 0.8860          | 0.6489   |
| 0.3634        | 66.0  | 22440 | 0.8428          | 0.6614   |
| 0.3528        | 67.0  | 22780 | 0.8792          | 0.6458   |
| 0.3613        | 68.0  | 23120 | 0.8840          | 0.6254   |
| 0.3613        | 69.0  | 23460 | 0.8960          | 0.6489   |
| 0.3516        | 70.0  | 23800 | 0.8763          | 0.6567   |
| 0.348         | 71.0  | 24140 | 0.8935          | 0.6332   |
| 0.348         | 72.0  | 24480 | 0.9031          | 0.6442   |
| 0.3567        | 73.0  | 24820 | 0.9070          | 0.6458   |
| 0.3514        | 74.0  | 25160 | 0.8997          | 0.6426   |
| 0.3543        | 75.0  | 25500 | 0.9025          | 0.6458   |
| 0.3543        | 76.0  | 25840 | 0.9028          | 0.6379   |
| 0.3457        | 77.0  | 26180 | 0.9155          | 0.6364   |
| 0.3452        | 78.0  | 26520 | 0.8973          | 0.6426   |
| 0.3452        | 79.0  | 26860 | 0.9085          | 0.6458   |
| 0.3379        | 80.0  | 27200 | 0.9097          | 0.6442   |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3