---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: MSR-VTT-real-moderate_kl05-model-run2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MSR-VTT-real-moderate_kl05-model-run2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8461

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 16
- 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: 100
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2861        | 1.0   | 309  | 3.9998          |
| 4.001         | 2.0   | 618  | 3.8960          |
| 3.8887        | 3.0   | 927  | 3.8633          |
| 3.7093        | 4.0   | 1236 | 3.8487          |
| 3.5603        | 5.0   | 1545 | 3.8419          |
| 3.4551        | 6.0   | 1854 | 3.8398          |
| 3.7156        | 7.0   | 2163 | 3.8397          |
| 3.5388        | 8.0   | 2472 | 3.8421          |
| 3.4878        | 9.0   | 2781 | 3.8435          |
| 3.4592        | 10.0  | 3090 | 3.8461          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3