---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822235943'
  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. -->

# 20230822235943

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: 0.9555
- Accuracy: 0.7437

## 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: 0.003
- 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: 60.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 156  | 0.8690          | 0.4729   |
| No log        | 2.0   | 312  | 0.7262          | 0.5271   |
| No log        | 3.0   | 468  | 0.7646          | 0.4693   |
| 0.8294        | 4.0   | 624  | 0.7044          | 0.5884   |
| 0.8294        | 5.0   | 780  | 0.7099          | 0.5884   |
| 0.8294        | 6.0   | 936  | 0.6449          | 0.6245   |
| 0.785         | 7.0   | 1092 | 0.7755          | 0.6245   |
| 0.785         | 8.0   | 1248 | 0.6443          | 0.6606   |
| 0.785         | 9.0   | 1404 | 0.6349          | 0.6859   |
| 0.6665        | 10.0  | 1560 | 0.9544          | 0.6462   |
| 0.6665        | 11.0  | 1716 | 0.6008          | 0.7184   |
| 0.6665        | 12.0  | 1872 | 0.6503          | 0.7076   |
| 0.6276        | 13.0  | 2028 | 0.6269          | 0.7076   |
| 0.6276        | 14.0  | 2184 | 0.5788          | 0.7148   |
| 0.6276        | 15.0  | 2340 | 0.6645          | 0.7076   |
| 0.6276        | 16.0  | 2496 | 0.9684          | 0.6426   |
| 0.587         | 17.0  | 2652 | 0.6227          | 0.7184   |
| 0.587         | 18.0  | 2808 | 0.6449          | 0.7076   |
| 0.587         | 19.0  | 2964 | 0.6651          | 0.7365   |
| 0.5287        | 20.0  | 3120 | 1.1324          | 0.6498   |
| 0.5287        | 21.0  | 3276 | 0.7391          | 0.6895   |
| 0.5287        | 22.0  | 3432 | 1.0194          | 0.6643   |
| 0.5035        | 23.0  | 3588 | 0.7838          | 0.7040   |
| 0.5035        | 24.0  | 3744 | 0.8647          | 0.7184   |
| 0.5035        | 25.0  | 3900 | 1.0974          | 0.6715   |
| 0.4533        | 26.0  | 4056 | 0.5861          | 0.7292   |
| 0.4533        | 27.0  | 4212 | 0.6685          | 0.7437   |
| 0.4533        | 28.0  | 4368 | 0.6998          | 0.7256   |
| 0.4398        | 29.0  | 4524 | 0.7596          | 0.7329   |
| 0.4398        | 30.0  | 4680 | 0.6967          | 0.7437   |
| 0.4398        | 31.0  | 4836 | 0.7041          | 0.7473   |
| 0.4398        | 32.0  | 4992 | 0.7617          | 0.7329   |
| 0.3837        | 33.0  | 5148 | 0.7991          | 0.7329   |
| 0.3837        | 34.0  | 5304 | 0.8229          | 0.7473   |
| 0.3837        | 35.0  | 5460 | 0.7745          | 0.7401   |
| 0.3471        | 36.0  | 5616 | 0.7787          | 0.7437   |
| 0.3471        | 37.0  | 5772 | 0.7991          | 0.7365   |
| 0.3471        | 38.0  | 5928 | 1.0206          | 0.7256   |
| 0.3303        | 39.0  | 6084 | 0.8977          | 0.7292   |
| 0.3303        | 40.0  | 6240 | 0.7327          | 0.7220   |
| 0.3303        | 41.0  | 6396 | 0.8102          | 0.7292   |
| 0.2991        | 42.0  | 6552 | 0.7347          | 0.7473   |
| 0.2991        | 43.0  | 6708 | 0.8677          | 0.7473   |
| 0.2991        | 44.0  | 6864 | 0.9774          | 0.7365   |
| 0.275         | 45.0  | 7020 | 0.8557          | 0.7581   |
| 0.275         | 46.0  | 7176 | 0.9789          | 0.7437   |
| 0.275         | 47.0  | 7332 | 1.0015          | 0.7437   |
| 0.275         | 48.0  | 7488 | 0.8450          | 0.7401   |
| 0.2596        | 49.0  | 7644 | 0.8222          | 0.7581   |
| 0.2596        | 50.0  | 7800 | 0.8968          | 0.7401   |
| 0.2596        | 51.0  | 7956 | 0.8584          | 0.7437   |
| 0.2469        | 52.0  | 8112 | 0.9157          | 0.7401   |
| 0.2469        | 53.0  | 8268 | 0.9732          | 0.7365   |
| 0.2469        | 54.0  | 8424 | 1.0671          | 0.7401   |
| 0.2303        | 55.0  | 8580 | 0.9512          | 0.7473   |
| 0.2303        | 56.0  | 8736 | 0.8708          | 0.7473   |
| 0.2303        | 57.0  | 8892 | 0.9290          | 0.7437   |
| 0.2275        | 58.0  | 9048 | 0.8866          | 0.7401   |
| 0.2275        | 59.0  | 9204 | 0.9366          | 0.7365   |
| 0.2275        | 60.0  | 9360 | 0.9555          | 0.7437   |


### Framework versions

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