---
library_name: transformers
license: mit
base_model: avsolatorio/GIST-all-MiniLM-L6-v2
tags:
- generated_from_trainer
model-index:
- name: GIST-all-MiniLM-L6-v2-text-quality-v3
  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. -->

# GIST-all-MiniLM-L6-v2-text-quality-v3

This model is a fine-tuned version of [avsolatorio/GIST-all-MiniLM-L6-v2](https://huggingface.co/avsolatorio/GIST-all-MiniLM-L6-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1572
- Mse: 0.1572
- Combined Score: 0.1572
- Num Input Tokens Seen: 102398720

## 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: 8
- eval_batch_size: 8
- 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: 10.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Mse    | Combined Score | Input Tokens Seen |
|:-------------:|:-----:|:------:|:---------------:|:------:|:--------------:|:-----------------:|
| 0.1777        | 1.0   | 10000  | 0.2354          | 0.2354 | 0.2354         | 10239872          |
| 0.1389        | 2.0   | 20000  | 0.1572          | 0.1572 | 0.1572         | 20479744          |
| 0.1           | 3.0   | 30000  | 0.1961          | 0.1961 | 0.1961         | 30719616          |
| 0.0687        | 4.0   | 40000  | 0.1596          | 0.1596 | 0.1596         | 40959488          |
| 0.0559        | 5.0   | 50000  | 0.1757          | 0.1757 | 0.1757         | 51199360          |
| 0.0409        | 6.0   | 60000  | 0.1677          | 0.1677 | 0.1677         | 61439232          |
| 0.0319        | 7.0   | 70000  | 0.1852          | 0.1852 | 0.1852         | 71679104          |
| 0.0266        | 8.0   | 80000  | 0.1840          | 0.1840 | 0.1840         | 81918976          |
| 0.0202        | 9.0   | 90000  | 0.1724          | 0.1724 | 0.1724         | 92158848          |
| 0.0172        | 10.0  | 100000 | 0.1731          | 0.1731 | 0.1731         | 102398720         |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0