---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos
  results: []
---

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# ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.7756
- eval_accuracy: 0.9119
- eval_macro_f1: 0.7825
- eval_runtime: 14.6137
- eval_samples_per_second: 45.984
- eval_steps_per_second: 11.496
- epoch: 0.0001
- step: 14

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- 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: 6733
- training_steps: 134674

### Framework versions

- Transformers 4.46.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.1