
<!-- 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. -->

# crossencoder-tynybert-km1

This model is a fine-tuned version of [cross-encoder/stsb-TinyBERT-L-4](https://huggingface.co/cross-encoder/stsb-TinyBERT-L-4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0014

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0054        | 1.0   | 125  | 0.0074          |
| 0.005         | 2.0   | 250  | 0.0051          |
| 0.0035        | 3.0   | 375  | 0.0008          |
| 0.0015        | 4.0   | 500  | 0.0010          |
| 0.0026        | 5.0   | 625  | 0.0031          |
| 0.0011        | 6.0   | 750  | 0.0017          |
| 0.0009        | 7.0   | 875  | 0.0017          |
| 0.001         | 8.0   | 1000 | 0.0010          |
| 0.0008        | 9.0   | 1125 | 0.0013          |
| 0.0008        | 10.0  | 1250 | 0.0014          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "cross-encoder/stsb-TinyBERT-L-4", "model-index": [{"name": "crossencoder-tynybert-km1", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:cross-encoder/stsb-TinyBERT-L-4 license:apache-2.0 autotrain_compatible endpoints_compatible region:us