|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: img_cap_aibxesck |
|
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. --> |
|
|
|
# img_cap_aibxesck |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 5.5634 |
|
- Bleu score: 0.0030 |
|
|
|
## 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: 0.01 |
|
- train_batch_size: 18 |
|
- eval_batch_size: 18 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu score | |
|
|:-------------:|:-----:|:----:|:---------------:|:----------:| |
|
| No log | 1.0 | 157 | 16.3024 | 0.0022 | |
|
| No log | 2.0 | 314 | 5.9833 | 0.0032 | |
|
| No log | 3.0 | 471 | 5.9377 | 0.0030 | |
|
| 8.9191 | 4.0 | 628 | 5.5674 | 0.0032 | |
|
| 8.9191 | 5.0 | 785 | 5.5634 | 0.0030 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
