---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-finetuned-DA-Zero-shot
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-large-uncased-finetuned-DA-Zero-shot

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1318

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1282        | 1.0   | 435  | 1.3862          |
| 1.1307        | 2.0   | 870  | 1.3362          |
| 1.2243        | 3.0   | 1305 | 1.2791          |
| 1.274         | 4.0   | 1740 | 1.2143          |
| 1.2296        | 5.0   | 2175 | 1.1799          |
| 1.1773        | 6.0   | 2610 | 1.1550          |
| 1.1519        | 7.0   | 3045 | 1.1295          |
| 1.1406        | 8.0   | 3480 | 1.1064          |
| 1.114         | 9.0   | 3915 | 1.1303          |
| 1.1058        | 10.0  | 4350 | 1.1214          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2