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--- |
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library_name: peft |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-3B-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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datasets: |
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- generator |
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model-index: |
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- name: TWON-Agent-OSN-Post-en |
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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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# TWON-Agent-OSN-Post-en |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8993 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.6374 | 1.1429 | 200 | 1.1784 | |
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| 1.2494 | 2.2857 | 400 | 1.0614 | |
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| 1.1835 | 3.4286 | 600 | 0.9980 | |
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| 1.1382 | 4.5714 | 800 | 0.9540 | |
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| 1.1128 | 5.7143 | 1000 | 0.9240 | |
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| 1.0937 | 6.8571 | 1200 | 0.9065 | |
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| 1.0809 | 8.0 | 1400 | 0.8993 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
