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# hbertv1-massive-no_pretrain

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7963
- Accuracy: 0.8195

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 33
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.6019        | 1.0   | 4000  | 0.7731          | 0.8096   |
| 0.8901        | 2.0   | 8000  | 0.7850          | 0.8141   |
| 0.6831        | 3.0   | 12000 | 0.7963          | 0.8195   |
| 0.5502        | 4.0   | 16000 | 0.8432          | 0.8190   |
| 0.4555        | 5.0   | 20000 | 0.8560          | 0.8180   |
| 0.3814        | 6.0   | 24000 | 0.9761          | 0.7964   |
| 0.3224        | 7.0   | 28000 | 0.9966          | 0.8052   |
| 0.277         | 8.0   | 32000 | 1.0567          | 0.8037   |
| 0.2388        | 9.0   | 36000 | 1.1149          | 0.8087   |
| 0.2066        | 10.0  | 40000 | 1.1988          | 0.8032   |
| 0.1785        | 11.0  | 44000 | 1.2350          | 0.8028   |
| 0.1533        | 12.0  | 48000 | 1.3315          | 0.8037   |
| 0.1329        | 13.0  | 52000 | 1.4839          | 0.8023   |
| 0.1153        | 14.0  | 56000 | 1.5399          | 0.8018   |
| 0.0994        | 15.0  | 60000 | 1.5967          | 0.7998   |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "hbertv1-massive-no_pretrain", "results": []}]}
transformers tensorboard safetensors hybridbert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us