---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230824164037'
  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. -->

# 20230824164037

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: 0.7104
- Accuracy: 0.7617

## 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: 0.005
- 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   | 156   | 0.8540          | 0.5307   |
| No log        | 2.0   | 312   | 0.6894          | 0.4838   |
| No log        | 3.0   | 468   | 1.2065          | 0.4729   |
| 1.0004        | 4.0   | 624   | 0.6386          | 0.5487   |
| 1.0004        | 5.0   | 780   | 0.6979          | 0.5199   |
| 1.0004        | 6.0   | 936   | 0.6102          | 0.6173   |
| 0.8189        | 7.0   | 1092  | 0.9162          | 0.5848   |
| 0.8189        | 8.0   | 1248  | 0.7055          | 0.6282   |
| 0.8189        | 9.0   | 1404  | 0.5689          | 0.7004   |
| 0.7207        | 10.0  | 1560  | 1.0166          | 0.6282   |
| 0.7207        | 11.0  | 1716  | 0.8185          | 0.4946   |
| 0.7207        | 12.0  | 1872  | 0.5053          | 0.7148   |
| 0.6822        | 13.0  | 2028  | 0.5296          | 0.7184   |
| 0.6822        | 14.0  | 2184  | 0.6259          | 0.7040   |
| 0.6822        | 15.0  | 2340  | 0.9773          | 0.6426   |
| 0.6822        | 16.0  | 2496  | 0.7401          | 0.6462   |
| 0.6238        | 17.0  | 2652  | 0.4929          | 0.7148   |
| 0.6238        | 18.0  | 2808  | 0.5547          | 0.7256   |
| 0.6238        | 19.0  | 2964  | 0.5692          | 0.7220   |
| 0.5327        | 20.0  | 3120  | 0.9119          | 0.6498   |
| 0.5327        | 21.0  | 3276  | 0.6083          | 0.7004   |
| 0.5327        | 22.0  | 3432  | 0.5836          | 0.7112   |
| 0.4818        | 23.0  | 3588  | 0.5820          | 0.7292   |
| 0.4818        | 24.0  | 3744  | 0.5506          | 0.7292   |
| 0.4818        | 25.0  | 3900  | 0.6027          | 0.7256   |
| 0.4199        | 26.0  | 4056  | 0.5265          | 0.7437   |
| 0.4199        | 27.0  | 4212  | 0.6094          | 0.7076   |
| 0.4199        | 28.0  | 4368  | 0.6170          | 0.7220   |
| 0.4001        | 29.0  | 4524  | 0.5932          | 0.7329   |
| 0.4001        | 30.0  | 4680  | 0.6954          | 0.7220   |
| 0.4001        | 31.0  | 4836  | 0.6963          | 0.7437   |
| 0.4001        | 32.0  | 4992  | 0.6431          | 0.7545   |
| 0.3272        | 33.0  | 5148  | 0.9597          | 0.7040   |
| 0.3272        | 34.0  | 5304  | 0.6982          | 0.7365   |
| 0.3272        | 35.0  | 5460  | 0.6270          | 0.7437   |
| 0.2947        | 36.0  | 5616  | 1.0674          | 0.7004   |
| 0.2947        | 37.0  | 5772  | 0.8835          | 0.7256   |
| 0.2947        | 38.0  | 5928  | 0.9769          | 0.6859   |
| 0.266         | 39.0  | 6084  | 0.6855          | 0.7581   |
| 0.266         | 40.0  | 6240  | 0.7246          | 0.7509   |
| 0.266         | 41.0  | 6396  | 0.6901          | 0.7690   |
| 0.2254        | 42.0  | 6552  | 0.7170          | 0.7509   |
| 0.2254        | 43.0  | 6708  | 0.7532          | 0.7473   |
| 0.2254        | 44.0  | 6864  | 0.7347          | 0.7617   |
| 0.2188        | 45.0  | 7020  | 0.6478          | 0.7509   |
| 0.2188        | 46.0  | 7176  | 0.7903          | 0.7545   |
| 0.2188        | 47.0  | 7332  | 0.9367          | 0.7220   |
| 0.2188        | 48.0  | 7488  | 0.8417          | 0.7690   |
| 0.2166        | 49.0  | 7644  | 0.8226          | 0.7617   |
| 0.2166        | 50.0  | 7800  | 0.6278          | 0.7545   |
| 0.2166        | 51.0  | 7956  | 0.7471          | 0.7473   |
| 0.1828        | 52.0  | 8112  | 0.7728          | 0.7617   |
| 0.1828        | 53.0  | 8268  | 0.7733          | 0.7690   |
| 0.1828        | 54.0  | 8424  | 0.7554          | 0.7581   |
| 0.163         | 55.0  | 8580  | 0.8025          | 0.7653   |
| 0.163         | 56.0  | 8736  | 0.8769          | 0.7617   |
| 0.163         | 57.0  | 8892  | 0.6569          | 0.7473   |
| 0.1563        | 58.0  | 9048  | 0.7166          | 0.7653   |
| 0.1563        | 59.0  | 9204  | 0.8688          | 0.7617   |
| 0.1563        | 60.0  | 9360  | 0.7254          | 0.7617   |
| 0.1423        | 61.0  | 9516  | 0.8286          | 0.7545   |
| 0.1423        | 62.0  | 9672  | 0.7656          | 0.7545   |
| 0.1423        | 63.0  | 9828  | 0.8362          | 0.7617   |
| 0.1423        | 64.0  | 9984  | 0.7287          | 0.7617   |
| 0.1355        | 65.0  | 10140 | 0.8451          | 0.7581   |
| 0.1355        | 66.0  | 10296 | 0.6854          | 0.7617   |
| 0.1355        | 67.0  | 10452 | 0.7272          | 0.7581   |
| 0.1321        | 68.0  | 10608 | 0.6530          | 0.7617   |
| 0.1321        | 69.0  | 10764 | 0.8535          | 0.7653   |
| 0.1321        | 70.0  | 10920 | 0.7803          | 0.7653   |
| 0.1217        | 71.0  | 11076 | 0.7409          | 0.7617   |
| 0.1217        | 72.0  | 11232 | 0.7044          | 0.7617   |
| 0.1217        | 73.0  | 11388 | 0.6501          | 0.7653   |
| 0.1224        | 74.0  | 11544 | 0.7102          | 0.7617   |
| 0.1224        | 75.0  | 11700 | 0.7050          | 0.7617   |
| 0.1224        | 76.0  | 11856 | 0.7103          | 0.7617   |
| 0.1173        | 77.0  | 12012 | 0.6821          | 0.7617   |
| 0.1173        | 78.0  | 12168 | 0.7196          | 0.7617   |
| 0.1173        | 79.0  | 12324 | 0.7048          | 0.7617   |
| 0.1173        | 80.0  | 12480 | 0.7104          | 0.7617   |


### Framework versions

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