---
library_name: transformers
base_model: CodeIsAbstract/HybridTimeScaleModel
tags:
- generated_from_trainer
model-index:
- name: HybridTimeScaleModel_conti
  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. -->

# HybridTimeScaleModel_conti

This model is a fine-tuned version of [CodeIsAbstract/HybridTimeScaleModel](https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel) on an unknown dataset.

## 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: 1
- eval_batch_size: 4
- seed: 42
- distributed_type: tpu
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
relative_step=False,scale_parameter=False,warmup_init=False
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.05
- training_steps: 11000

### Training results



### Framework versions

- Transformers 5.12.1
- Pytorch 2.9.0+cpu
- Datasets 5.0.0
- Tokenizers 0.22.2