---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rlcc-new-appearance-upsample_replacement-aspect_classifier
  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. -->

# rlcc-new-appearance-upsample_replacement-aspect_classifier

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2835
- Accuracy: 0.4477
- F1 Macro: 0.4310
- Precision Macro: 0.4551
- Recall Macro: 0.4321
- F1 Micro: 0.4477
- Precision Micro: 0.4477
- Recall Micro: 0.4477
- Total Tf: [124, 153, 401, 153]

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 44
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | F1 Micro | Precision Micro | Recall Micro | Total Tf             |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------------------:|
| 1.0991        | 1.0   | 45   | 1.0927          | 0.4043   | 0.2892   | 0.2570          | 0.3606       | 0.4043   | 0.4043          | 0.4043       | [112, 165, 389, 165] |
| 1.0885        | 2.0   | 90   | 1.0899          | 0.4224   | 0.3296   | 0.2843          | 0.3939       | 0.4224   | 0.4224          | 0.4224       | [117, 160, 394, 160] |
| 1.0124        | 3.0   | 135  | 1.1232          | 0.3755   | 0.3630   | 0.3653          | 0.3640       | 0.3755   | 0.3755          | 0.3755       | [104, 173, 381, 173] |
| 0.7841        | 4.0   | 180  | 1.1267          | 0.4440   | 0.4437   | 0.4497          | 0.4535       | 0.4440   | 0.4440          | 0.4440       | [123, 154, 400, 154] |
| 0.6049        | 5.0   | 225  | 1.2197          | 0.4296   | 0.4147   | 0.4294          | 0.4161       | 0.4296   | 0.4296          | 0.4296       | [119, 158, 396, 158] |
| 0.4992        | 6.0   | 270  | 1.2835          | 0.4477   | 0.4310   | 0.4551          | 0.4321       | 0.4477   | 0.4477          | 0.4477       | [124, 153, 401, 153] |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2