---
library_name: transformers
license: mit
base_model: gngpostalsrvc/BERiT_2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: COHeN_2.0_10_epochs
  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. -->

# COHeN_2.0_10_epochs

This model is a fine-tuned version of [gngpostalsrvc/BERiT_2.0](https://huggingface.co/gngpostalsrvc/BERiT_2.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8565
- Accuracy: 0.7977

## 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: 0.0027431492469971175
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 300  | 0.6733          | 0.7625   |
| 0.7752        | 2.0   | 600  | 0.7937          | 0.7625   |
| 0.7752        | 3.0   | 900  | 0.6977          | 0.7826   |
| 0.4312        | 4.0   | 1200 | 0.7750          | 0.7659   |
| 0.3369        | 5.0   | 1500 | 0.7229          | 0.8052   |
| 0.3369        | 6.0   | 1800 | 0.7256          | 0.7993   |
| 0.2759        | 7.0   | 2100 | 0.8009          | 0.8177   |
| 0.2759        | 8.0   | 2400 | 0.8318          | 0.8110   |
| 0.2366        | 9.0   | 2700 | 0.8419          | 0.7876   |
| 0.2072        | 10.0  | 3000 | 0.8565          | 0.7977   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0