---
license: apache-2.0
base_model: pszemraj/MiniLMv2-L6-H384_R-fineweb-100k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MiniLMv2-L6-H384_R-fineweb-100k-OCR-quality-classification-cls
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MiniLMv2-L6-H384_R-fineweb-100k-OCR-quality-classification-cls

This model is a fine-tuned version of [pszemraj/MiniLMv2-L6-H384_R-fineweb-100k](https://huggingface.co/pszemraj/MiniLMv2-L6-H384_R-fineweb-100k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0162
- Accuracy: 0.996
- Num Input Tokens Seen: 61536256

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
| 0.0298        | 0.2660 | 250  | 0.0448          | 0.99     | 8192000           |
| 0.0141        | 0.5321 | 500  | 0.0330          | 0.99     | 16384000          |
| 0.02          | 0.7981 | 750  | 0.0298          | 0.99     | 24576000          |
| 0.0085        | 1.0641 | 1000 | 0.0222          | 0.994    | 32765952          |
| 0.0174        | 1.3301 | 1250 | 0.0207          | 0.994    | 40957952          |
| 0.0104        | 1.5962 | 1500 | 0.0202          | 0.996    | 49149952          |
| 0.0237        | 1.8622 | 1750 | 0.0185          | 0.996    | 57341952          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1