---
library_name: transformers
license: mit
base_model: HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1
tags:
- generated_from_trainer
model-index:
- name: wb-climate-regression-kalm
  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. -->

# wb-climate-regression-kalm

This model is a fine-tuned version of [HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1](https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0273

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0499        | 1.0   | 754  | 0.0386          |
| 0.0304        | 2.0   | 1508 | 0.0330          |
| 0.0188        | 3.0   | 2262 | 0.0293          |
| 0.0119        | 4.0   | 3016 | 0.0295          |
| 0.0069        | 5.0   | 3770 | 0.0299          |
| 0.0039        | 6.0   | 4524 | 0.0279          |
| 0.0025        | 7.0   | 5278 | 0.0273          |
| 0.0015        | 8.0   | 6032 | 0.0275          |
| 0.0007        | 9.0   | 6786 | 0.0275          |
| 0.0003        | 10.0  | 7540 | 0.0273          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3