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--- |
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library_name: transformers |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-11B-Vision-Instruct |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: llama32-rocov2 |
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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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# llama32-rocov2 |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5308 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: reduce_lr_on_plateau |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9044 | 0.3057 | 1000 | 1.4144 | |
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| 0.8406 | 0.6115 | 2000 | 1.3676 | |
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| 1.191 | 0.9172 | 3000 | 1.2214 | |
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| 0.6385 | 1.2229 | 4000 | 1.3376 | |
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| 0.653 | 1.5286 | 5000 | 1.3327 | |
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| 0.6588 | 1.8344 | 6000 | 1.3117 | |
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| 0.2798 | 2.1401 | 7000 | 1.5337 | |
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| 0.2596 | 2.4458 | 8000 | 1.5558 | |
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| 0.2668 | 2.7516 | 9000 | 1.5308 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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