---
library_name: transformers
base_model: CodeIsAbstract/HybridTimeScaleModel_conti2
tags:
- generated_from_trainer
model-index:
- name: HybridTimeScaleModel_conti3
  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_conti3

This model is a fine-tuned version of [CodeIsAbstract/HybridTimeScaleModel_conti2](https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel_conti2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2616

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 10
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1777        | 0.05  | 50   | 3.4269          |
| 3.1601        | 0.1   | 100  | 3.3961          |
| 3.1383        | 0.15  | 150  | 3.3838          |
| 3.0848        | 0.2   | 200  | 3.3661          |
| 3.0850        | 0.25  | 250  | 3.3512          |
| 3.0674        | 0.3   | 300  | 3.3399          |
| 3.0248        | 0.35  | 350  | 3.3282          |
| 3.0237        | 0.4   | 400  | 3.3229          |
| 3.0460        | 0.45  | 450  | 3.3178          |
| 3.0554        | 0.5   | 500  | 3.3105          |
| 3.0215        | 0.55  | 550  | 3.3045          |
| 3.0404        | 0.6   | 600  | 3.2980          |
| 3.0302        | 0.65  | 650  | 3.2929          |
| 3.0227        | 0.7   | 700  | 3.2861          |
| 2.9928        | 0.75  | 750  | 3.2805          |
| 3.0219        | 0.8   | 800  | 3.2757          |
| 2.9899        | 0.85  | 850  | 3.2712          |
| 2.9925        | 0.9   | 900  | 3.2690          |
| 2.9400        | 0.95  | 950  | 3.2654          |
| 2.9780        | 1.0   | 1000 | 3.2616          |


### Framework versions

- Transformers 5.14.1
- Pytorch 2.8.0+cu128
- Datasets 5.0.1
- Tokenizers 0.22.2