---
license: apache-2.0
base_model: tohoku-nlp/bert-base-japanese-v3
tags:
- generated_from_trainer
model-index:
- name: outputs_sup_simcse
  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. -->

# outputs_sup_simcse

This model is a fine-tuned version of [tohoku-nlp/bert-base-japanese-v3](https://huggingface.co/tohoku-nlp/bert-base-japanese-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0679
- Spearman: nan

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Spearman |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 3.5159        | 2.2523 | 250  | 4.0679          | nan      |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1