---
tags:
- generated_from_trainer
datasets:
- bigbench
metrics:
- accuracy
model-index:
- name: entailedpolarity_-bert-base-uncased-a2b1l0.001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# entailedpolarity_-bert-base-uncased-a2b1l0.001

This model was trained from scratch on the bigbench dataset.
It achieves the following results on the evaluation set:
- Loss: 13.3548
- Accuracy: 0.875

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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        | 0.67  | 1    | 17.4094         | 0.2083   |
| No log        | 2.0   | 3    | 15.8009         | 0.75     |
| No log        | 2.67  | 4    | 15.3479         | 0.75     |
| No log        | 4.0   | 6    | 14.4120         | 0.7917   |
| No log        | 4.67  | 7    | 14.0308         | 0.7917   |
| No log        | 6.0   | 9    | 13.0724         | 0.7917   |
| No log        | 6.67  | 10   | 12.9712         | 0.7917   |
| No log        | 8.0   | 12   | 12.8702         | 0.7917   |
| No log        | 8.67  | 13   | 12.8670         | 0.7917   |
| No log        | 10.0  | 15   | 13.0790         | 0.7917   |
| No log        | 10.67 | 16   | 13.1837         | 0.8333   |
| No log        | 12.0  | 18   | 13.2997         | 0.875    |
| No log        | 12.67 | 19   | 13.3246         | 0.875    |
| No log        | 13.33 | 20   | 13.3548         | 0.875    |


### Framework versions

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