---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rlcc-appearance-upsample_replacement-absa-max
  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-appearance-upsample_replacement-absa-max

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: 1.5661
- Accuracy: 0.6220
- F1 Macro: 0.5882
- Precision Macro: 0.5858
- Recall Macro: 0.6126
- Total Tf: [255, 155, 1075, 155]

## 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 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: 65
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf              |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:---------------------:|
| 1.092         | 1.0   | 66   | 1.0985          | 0.5171   | 0.4268   | 0.3942          | 0.5033       | [212, 198, 1032, 198] |
| 1.013         | 2.0   | 132  | 1.0659          | 0.6073   | 0.5068   | 0.5150          | 0.5646       | [249, 161, 1069, 161] |
| 0.9201        | 3.0   | 198  | 1.0787          | 0.6341   | 0.5833   | 0.6272          | 0.6442       | [260, 150, 1080, 150] |
| 0.7413        | 4.0   | 264  | 1.1163          | 0.6561   | 0.6226   | 0.6328          | 0.6475       | [269, 141, 1089, 141] |
| 0.6606        | 5.0   | 330  | 1.2175          | 0.6439   | 0.6095   | 0.6147          | 0.6386       | [264, 146, 1084, 146] |
| 0.5027        | 6.0   | 396  | 1.2477          | 0.6268   | 0.5918   | 0.5979          | 0.6114       | [257, 153, 1077, 153] |
| 0.4779        | 7.0   | 462  | 1.2777          | 0.6488   | 0.6188   | 0.6159          | 0.6298       | [266, 144, 1086, 144] |
| 0.3738        | 8.0   | 528  | 1.3978          | 0.6415   | 0.6096   | 0.6103          | 0.6312       | [263, 147, 1083, 147] |
| 0.3518        | 9.0   | 594  | 1.5661          | 0.6220   | 0.5882   | 0.5858          | 0.6126       | [255, 155, 1075, 155] |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0