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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 |
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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: llama3-3b-summarize-gpt4o-128k |
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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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# llama3-3b-summarize-gpt4o-128k |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5189 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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- optimizer: Use OptimizerNames.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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.5142 | 1.0 | 219 | 2.4458 | |
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| 1.4574 | 2.0 | 438 | 2.4565 | |
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| 1.4298 | 3.0 | 657 | 2.4537 | |
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| 1.3972 | 4.0 | 876 | 2.4622 | |
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| 1.3868 | 5.0 | 1095 | 2.4810 | |
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| 1.3692 | 6.0 | 1314 | 2.5001 | |
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| 1.3509 | 7.0 | 1533 | 2.5038 | |
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| 1.3413 | 8.0 | 1752 | 2.5123 | |
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| 1.3562 | 9.0 | 1971 | 2.5176 | |
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| 1.3538 | 9.9565 | 2180 | 2.5189 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.50.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
