---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230824064723'
  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. -->

# 20230824064723

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: 0.6742
- Accuracy: 0.7076

## 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: 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   | 1.0968          | 0.5307   |
| 0.8903        | 2.0   | 624   | 0.9977          | 0.4729   |
| 0.8903        | 3.0   | 936   | 0.6500          | 0.5415   |
| 0.813         | 4.0   | 1248  | 0.8148          | 0.4729   |
| 0.7606        | 5.0   | 1560  | 0.6263          | 0.5993   |
| 0.7606        | 6.0   | 1872  | 0.7920          | 0.6245   |
| 0.7342        | 7.0   | 2184  | 1.2811          | 0.5884   |
| 0.7342        | 8.0   | 2496  | 0.5840          | 0.6462   |
| 0.6906        | 9.0   | 2808  | 0.5715          | 0.6751   |
| 0.6551        | 10.0  | 3120  | 0.5806          | 0.6859   |
| 0.6551        | 11.0  | 3432  | 0.5498          | 0.6823   |
| 0.6197        | 12.0  | 3744  | 0.6886          | 0.6968   |
| 0.5972        | 13.0  | 4056  | 1.1724          | 0.4477   |
| 0.5972        | 14.0  | 4368  | 0.6682          | 0.6101   |
| 0.7875        | 15.0  | 4680  | 0.6779          | 0.5560   |
| 0.7875        | 16.0  | 4992  | 0.9667          | 0.6354   |
| 0.6467        | 17.0  | 5304  | 0.9092          | 0.6606   |
| 0.5892        | 18.0  | 5616  | 0.6701          | 0.4621   |
| 0.5892        | 19.0  | 5928  | 0.6021          | 0.6643   |
| 0.6056        | 20.0  | 6240  | 0.8808          | 0.6787   |
| 0.5409        | 21.0  | 6552  | 0.5458          | 0.6751   |
| 0.5409        | 22.0  | 6864  | 0.5723          | 0.6859   |
| 0.5387        | 23.0  | 7176  | 0.9638          | 0.6679   |
| 0.5387        | 24.0  | 7488  | 0.7176          | 0.6968   |
| 0.511         | 25.0  | 7800  | 0.6557          | 0.6895   |
| 0.4744        | 26.0  | 8112  | 0.5338          | 0.7148   |
| 0.4744        | 27.0  | 8424  | 0.5646          | 0.7076   |
| 0.4743        | 28.0  | 8736  | 0.5423          | 0.7040   |
| 0.4598        | 29.0  | 9048  | 0.6324          | 0.7076   |
| 0.4598        | 30.0  | 9360  | 0.7069          | 0.7004   |
| 0.4485        | 31.0  | 9672  | 0.6809          | 0.6859   |
| 0.4485        | 32.0  | 9984  | 0.5675          | 0.7076   |
| 0.442         | 33.0  | 10296 | 0.8006          | 0.6895   |
| 0.4141        | 34.0  | 10608 | 0.5902          | 0.7112   |
| 0.4141        | 35.0  | 10920 | 0.6252          | 0.7148   |
| 0.4054        | 36.0  | 11232 | 0.8398          | 0.7112   |
| 0.3819        | 37.0  | 11544 | 0.7482          | 0.7004   |
| 0.3819        | 38.0  | 11856 | 0.6538          | 0.7112   |
| 0.3825        | 39.0  | 12168 | 0.7720          | 0.6968   |
| 0.3825        | 40.0  | 12480 | 0.6094          | 0.6931   |
| 0.379         | 41.0  | 12792 | 0.5863          | 0.7040   |
| 0.3701        | 42.0  | 13104 | 0.6197          | 0.7040   |
| 0.3701        | 43.0  | 13416 | 0.5795          | 0.7112   |
| 0.3576        | 44.0  | 13728 | 0.6484          | 0.7076   |
| 0.3454        | 45.0  | 14040 | 0.6623          | 0.6968   |
| 0.3454        | 46.0  | 14352 | 0.6562          | 0.7220   |
| 0.3455        | 47.0  | 14664 | 0.5921          | 0.7184   |
| 0.3455        | 48.0  | 14976 | 0.6980          | 0.7112   |
| 0.3344        | 49.0  | 15288 | 0.6210          | 0.7004   |
| 0.3285        | 50.0  | 15600 | 0.5674          | 0.7184   |
| 0.3285        | 51.0  | 15912 | 0.6134          | 0.7040   |
| 0.3295        | 52.0  | 16224 | 0.7118          | 0.7148   |
| 0.3181        | 53.0  | 16536 | 0.6978          | 0.7040   |
| 0.3181        | 54.0  | 16848 | 0.6851          | 0.7112   |
| 0.3021        | 55.0  | 17160 | 0.7702          | 0.7040   |
| 0.3021        | 56.0  | 17472 | 0.7319          | 0.7040   |
| 0.3044        | 57.0  | 17784 | 0.6459          | 0.7076   |
| 0.2938        | 58.0  | 18096 | 0.6386          | 0.7076   |
| 0.2938        | 59.0  | 18408 | 0.6550          | 0.7004   |
| 0.2991        | 60.0  | 18720 | 0.6742          | 0.7076   |


### Framework versions

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