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---
license: apache-2.0
base_model: cross-encoder/stsb-TinyBERT-L-4
tags:
- generated_from_trainer
model-index:
- name: crossencoder-km1
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. -->
# crossencoder-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: 0.0110
## 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: 100
- eval_batch_size: 80
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.2478 | 1.0 | 20 | 6.6948 |
| 3.8026 | 2.0 | 40 | 2.8643 |
| 0.9993 | 3.0 | 60 | 0.8714 |
| 0.2986 | 4.0 | 80 | 0.2379 |
| 0.1161 | 5.0 | 100 | 0.0786 |
| 0.0414 | 6.0 | 120 | 0.0461 |
| 0.0218 | 7.0 | 140 | 0.0250 |
| 0.0144 | 8.0 | 160 | 0.0140 |
| 0.0101 | 9.0 | 180 | 0.0122 |
| 0.0083 | 10.0 | 200 | 0.0120 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.17.0
- Tokenizers 0.15.2
|