---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230816190102'
  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. -->

# 20230816190102

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: 0.3431
- Accuracy: 0.7004

## 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: 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   | 0.5884          | 0.5235   |
| 0.6001        | 2.0   | 624   | 0.4145          | 0.4729   |
| 0.6001        | 3.0   | 936   | 0.6337          | 0.4729   |
| 0.5343        | 4.0   | 1248  | 0.3934          | 0.4838   |
| 0.5255        | 5.0   | 1560  | 0.5662          | 0.4729   |
| 0.5255        | 6.0   | 1872  | 0.5158          | 0.5271   |
| 0.504         | 7.0   | 2184  | 0.3480          | 0.5343   |
| 0.504         | 8.0   | 2496  | 0.3846          | 0.5379   |
| 0.4941        | 9.0   | 2808  | 0.5111          | 0.5307   |
| 0.5022        | 10.0  | 3120  | 0.4621          | 0.5271   |
| 0.5022        | 11.0  | 3432  | 0.3418          | 0.6426   |
| 0.453         | 12.0  | 3744  | 0.3652          | 0.5632   |
| 0.3879        | 13.0  | 4056  | 0.3451          | 0.5596   |
| 0.3879        | 14.0  | 4368  | 0.3312          | 0.6426   |
| 0.3698        | 15.0  | 4680  | 0.3599          | 0.6462   |
| 0.3698        | 16.0  | 4992  | 0.3947          | 0.5993   |
| 0.3705        | 17.0  | 5304  | 0.3833          | 0.6173   |
| 0.3598        | 18.0  | 5616  | 0.3354          | 0.6462   |
| 0.3598        | 19.0  | 5928  | 0.3395          | 0.6715   |
| 0.3631        | 20.0  | 6240  | 0.3664          | 0.6390   |
| 0.3515        | 21.0  | 6552  | 0.3420          | 0.6787   |
| 0.3515        | 22.0  | 6864  | 0.3483          | 0.6137   |
| 0.3486        | 23.0  | 7176  | 0.3820          | 0.6498   |
| 0.3486        | 24.0  | 7488  | 0.3240          | 0.7004   |
| 0.3437        | 25.0  | 7800  | 0.3300          | 0.7148   |
| 0.3389        | 26.0  | 8112  | 0.3405          | 0.6787   |
| 0.3389        | 27.0  | 8424  | 0.3291          | 0.6968   |
| 0.3363        | 28.0  | 8736  | 0.3338          | 0.6895   |
| 0.3381        | 29.0  | 9048  | 0.3366          | 0.7220   |
| 0.3381        | 30.0  | 9360  | 0.3831          | 0.6606   |
| 0.3302        | 31.0  | 9672  | 0.3300          | 0.7040   |
| 0.3302        | 32.0  | 9984  | 0.3224          | 0.7040   |
| 0.33          | 33.0  | 10296 | 0.3332          | 0.6787   |
| 0.3271        | 34.0  | 10608 | 0.3412          | 0.7256   |
| 0.3271        | 35.0  | 10920 | 0.3197          | 0.7076   |
| 0.3266        | 36.0  | 11232 | 0.3236          | 0.7148   |
| 0.3248        | 37.0  | 11544 | 0.3621          | 0.6751   |
| 0.3248        | 38.0  | 11856 | 0.3330          | 0.7040   |
| 0.3223        | 39.0  | 12168 | 0.3636          | 0.6823   |
| 0.3223        | 40.0  | 12480 | 0.3298          | 0.7076   |
| 0.3205        | 41.0  | 12792 | 0.3224          | 0.7148   |
| 0.3177        | 42.0  | 13104 | 0.3288          | 0.7256   |
| 0.3177        | 43.0  | 13416 | 0.3464          | 0.6823   |
| 0.3167        | 44.0  | 13728 | 0.3567          | 0.6787   |
| 0.3159        | 45.0  | 14040 | 0.3551          | 0.6895   |
| 0.3159        | 46.0  | 14352 | 0.3313          | 0.7112   |
| 0.3131        | 47.0  | 14664 | 0.3233          | 0.7292   |
| 0.3131        | 48.0  | 14976 | 0.3508          | 0.6751   |
| 0.3118        | 49.0  | 15288 | 0.3420          | 0.7040   |
| 0.3088        | 50.0  | 15600 | 0.3410          | 0.6968   |
| 0.3088        | 51.0  | 15912 | 0.3421          | 0.7040   |
| 0.3082        | 52.0  | 16224 | 0.3411          | 0.7040   |
| 0.3068        | 53.0  | 16536 | 0.3616          | 0.6823   |
| 0.3068        | 54.0  | 16848 | 0.3555          | 0.6715   |
| 0.3031        | 55.0  | 17160 | 0.3418          | 0.7004   |
| 0.3031        | 56.0  | 17472 | 0.3460          | 0.6859   |
| 0.3039        | 57.0  | 17784 | 0.3353          | 0.7148   |
| 0.3025        | 58.0  | 18096 | 0.3450          | 0.7004   |
| 0.3025        | 59.0  | 18408 | 0.3427          | 0.7040   |
| 0.3034        | 60.0  | 18720 | 0.3431          | 0.7004   |


### Framework versions

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