---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: 8M-ACT
  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. -->

# 8M-ACT

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: 0.2521

## 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: 0.0003
- 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: constant
- training_steps: 2000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.3392        | 0.0135 | 200  | 4.1956          |
| 1.8409        | 0.0270 | 400  | 1.7534          |
| 0.6713        | 0.0404 | 600  | 0.6773          |
| 0.4330        | 0.0539 | 800  | 0.4251          |
| 0.3502        | 0.0674 | 1000 | 0.3474          |
| 0.3133        | 0.0809 | 1200 | 0.3119          |
| 0.2853        | 0.0944 | 1400 | 0.2870          |
| 0.3090        | 0.1079 | 1600 | 0.3029          |
| 0.2625        | 0.1213 | 1800 | 0.2610          |
| 0.2505        | 0.1348 | 2000 | 0.2521          |


### Framework versions

- Transformers 5.15.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 5.0.1
- Tokenizers 0.22.2