---
library_name: transformers
base_model: Neleac/SpaceTimeGPT
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: TimeSformer-GPT2-UCF-mini
  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. -->

# TimeSformer-GPT2-UCF-mini

This model is a fine-tuned version of [Neleac/SpaceTimeGPT](https://huggingface.co/Neleac/SpaceTimeGPT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3065
- Rouge1: 23.736
- Rouge2: 1.0376
- Rougel: 18.1037
- Rougelsum: 18.4236
- Gen Len: 31.2877

## 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
- 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: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:-------:|:---------:|:-------:|
| 0.1547        | 2.4876 | 500  | 0.3065          | 23.736 | 1.0376 | 18.1037 | 18.4236   | 31.2877 |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0