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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pali-captioning-lm-sweep |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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) |
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# pali-captioning-lm-sweep |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9665 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 70804 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| No log | 0 | 0 | 10.3383 | |
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| 1.9493 | 0.0040 | 10000 | 3.4608 | |
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| 1.8267 | 0.0081 | 20000 | 3.3065 | |
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| 1.6539 | 0.0121 | 30000 | 3.2140 | |
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| 1.6238 | 0.0162 | 40000 | 3.1555 | |
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| 1.5725 | 0.0202 | 50000 | 3.0853 | |
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| 1.4285 | 0.0242 | 60000 | 3.0110 | |
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| 1.4442 | 0.0283 | 70000 | 2.9665 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Tokenizers 0.19.1 |
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