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tags:
- generated_from_trainer
model-index:
- name: pali-captioning-lm-sweep
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/colemanhaley/pali-captioning-lm-sweep/runs/93x0gbhc)
# pali-captioning-lm-sweep
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: 2.9665
## 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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 70804
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| No log | 0 | 0 | 10.3383 |
| 1.9493 | 0.0040 | 10000 | 3.4608 |
| 1.8267 | 0.0081 | 20000 | 3.3065 |
| 1.6539 | 0.0121 | 30000 | 3.2140 |
| 1.6238 | 0.0162 | 40000 | 3.1555 |
| 1.5725 | 0.0202 | 50000 | 3.0853 |
| 1.4285 | 0.0242 | 60000 | 3.0110 |
| 1.4442 | 0.0283 | 70000 | 2.9665 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
|