---
tags:
- generated_from_trainer
datasets:
- bigbench
metrics:
- accuracy
model-index:
- name: entailedpolarity_-gpt2-a2b2l0.001
  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. -->

# entailedpolarity_-gpt2-a2b2l0.001

This model was trained from scratch on the bigbench dataset.
It achieves the following results on the evaluation set:
- Loss: 8.8419
- Accuracy: 0.2083

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 8.8417          | 0.2083   |
| No log        | 2.0   | 12   | 8.8339          | 0.2083   |
| No log        | 3.0   | 18   | 7.9904          | 0.2917   |
| No log        | 4.0   | 24   | 4.6119          | 0.75     |
| No log        | 5.0   | 30   | 8.8414          | 0.2083   |
| No log        | 6.0   | 36   | 8.8424          | 0.2083   |
| No log        | 7.0   | 42   | 8.8427          | 0.2083   |
| No log        | 8.0   | 48   | 8.8417          | 0.2083   |
| No log        | 9.0   | 54   | 8.8450          | 0.2083   |
| No log        | 10.0  | 60   | 8.8422          | 0.2083   |
| No log        | 11.0  | 66   | 8.8429          | 0.2083   |
| No log        | 12.0  | 72   | 8.8432          | 0.2083   |
| No log        | 13.0  | 78   | 8.8430          | 0.2083   |
| No log        | 14.0  | 84   | 8.8415          | 0.2083   |
| No log        | 15.0  | 90   | 8.8431          | 0.2083   |
| No log        | 16.0  | 96   | 8.8425          | 0.2083   |
| No log        | 17.0  | 102  | 8.8431          | 0.2083   |
| No log        | 18.0  | 108  | 8.8454          | 0.2083   |
| No log        | 19.0  | 114  | 8.8430          | 0.2083   |
| No log        | 20.0  | 120  | 8.8419          | 0.2083   |


### Framework versions

- Transformers 4.37.0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.2