---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230821213736'
  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. -->

# 20230821213736

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: 22.0684
- Accuracy: 0.4801

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 11
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 312   | 34.4593         | 0.4729   |
| 34.6035       | 2.0   | 624   | 34.1903         | 0.4729   |
| 34.6035       | 3.0   | 936   | 33.9397         | 0.5343   |
| 34.2607       | 4.0   | 1248  | 33.6773         | 0.5343   |
| 33.8346       | 5.0   | 1560  | 33.3601         | 0.4729   |
| 33.8346       | 6.0   | 1872  | 32.9334         | 0.5235   |
| 33.2988       | 7.0   | 2184  | 32.4093         | 0.5451   |
| 33.2988       | 8.0   | 2496  | 31.6614         | 0.5343   |
| 32.523        | 9.0   | 2808  | 31.1242         | 0.5487   |
| 31.6421       | 10.0  | 3120  | 30.7433         | 0.5271   |
| 31.6421       | 11.0  | 3432  | 30.4265         | 0.4910   |
| 30.9414       | 12.0  | 3744  | 30.1340         | 0.4729   |
| 30.3998       | 13.0  | 4056  | 29.6940         | 0.4729   |
| 30.3998       | 14.0  | 4368  | 29.2574         | 0.4838   |
| 29.7765       | 15.0  | 4680  | 28.9204         | 0.4729   |
| 29.7765       | 16.0  | 4992  | 28.7916         | 0.4729   |
| 29.2672       | 17.0  | 5304  | 28.7245         | 0.5379   |
| 29.0545       | 18.0  | 5616  | 28.6656         | 0.4729   |
| 29.0545       | 19.0  | 5928  | 28.6131         | 0.4729   |
| 28.9469       | 20.0  | 6240  | 28.5471         | 0.5126   |
| 28.8473       | 21.0  | 6552  | 28.4760         | 0.5343   |
| 28.8473       | 22.0  | 6864  | 28.3978         | 0.4765   |
| 28.7322       | 23.0  | 7176  | 28.3073         | 0.5271   |
| 28.7322       | 24.0  | 7488  | 28.1897         | 0.4729   |
| 28.5992       | 25.0  | 7800  | 28.0411         | 0.4729   |
| 28.4123       | 26.0  | 8112  | 27.8587         | 0.4729   |
| 28.4123       | 27.0  | 8424  | 27.6169         | 0.4729   |
| 28.1552       | 28.0  | 8736  | 27.2253         | 0.5018   |
| 27.7135       | 29.0  | 9048  | 26.7643         | 0.4729   |
| 27.7135       | 30.0  | 9360  | 26.2981         | 0.4693   |
| 27.1493       | 31.0  | 9672  | 25.9554         | 0.4874   |
| 27.1493       | 32.0  | 9984  | 25.6574         | 0.5018   |
| 26.68         | 33.0  | 10296 | 25.3846         | 0.4729   |
| 26.3235       | 34.0  | 10608 | 25.0976         | 0.4729   |
| 26.3235       | 35.0  | 10920 | 24.8303         | 0.4874   |
| 25.9833       | 36.0  | 11232 | 24.5811         | 0.4729   |
| 25.6663       | 37.0  | 11544 | 24.3341         | 0.4874   |
| 25.6663       | 38.0  | 11856 | 24.1074         | 0.4729   |
| 25.3808       | 39.0  | 12168 | 23.9099         | 0.4874   |
| 25.3808       | 40.0  | 12480 | 23.7138         | 0.5343   |
| 25.12         | 41.0  | 12792 | 23.5439         | 0.4874   |
| 24.8956       | 42.0  | 13104 | 23.3745         | 0.4729   |
| 24.8956       | 43.0  | 13416 | 23.2148         | 0.5162   |
| 24.6833       | 44.0  | 13728 | 23.0665         | 0.4765   |
| 24.498        | 45.0  | 14040 | 22.9456         | 0.4729   |
| 24.498        | 46.0  | 14352 | 22.8208         | 0.4729   |
| 24.3449       | 47.0  | 14664 | 22.7087         | 0.4693   |
| 24.3449       | 48.0  | 14976 | 22.6159         | 0.4910   |
| 24.1996       | 49.0  | 15288 | 22.5243         | 0.4874   |
| 24.0892       | 50.0  | 15600 | 22.4457         | 0.4801   |
| 24.0892       | 51.0  | 15912 | 22.3728         | 0.4838   |
| 23.9876       | 52.0  | 16224 | 22.3081         | 0.4874   |
| 23.9068       | 53.0  | 16536 | 22.2526         | 0.4729   |
| 23.9068       | 54.0  | 16848 | 22.2029         | 0.4801   |
| 23.837        | 55.0  | 17160 | 22.1624         | 0.4874   |
| 23.837        | 56.0  | 17472 | 22.1289         | 0.4765   |
| 23.7911       | 57.0  | 17784 | 22.1029         | 0.4729   |
| 23.7521       | 58.0  | 18096 | 22.0854         | 0.4729   |
| 23.7521       | 59.0  | 18408 | 22.0726         | 0.4765   |
| 23.7328       | 60.0  | 18720 | 22.0684         | 0.4801   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3