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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B |
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datasets: |
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- generator |
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library_name: peft |
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license: llama3.1 |
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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: llama3.1-8b-closedqa-gpt4o-100k |
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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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# llama3.1-8b-closedqa-gpt4o-100k |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8424 |
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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: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 0.9422 | 0.9991 | 582 | 1.9762 | |
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| 0.8939 | 2.0 | 1165 | 2.0232 | |
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| 0.8255 | 2.9991 | 1747 | 2.1086 | |
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| 0.7584 | 4.0 | 2330 | 2.2541 | |
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| 0.6928 | 4.9991 | 2912 | 2.4424 | |
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| 0.6102 | 6.0 | 3495 | 2.7089 | |
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| 0.5466 | 6.9991 | 4077 | 3.0554 | |
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| 0.5038 | 8.0 | 4660 | 3.4053 | |
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| 0.4624 | 8.9991 | 5242 | 3.6952 | |
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| 0.454 | 9.9914 | 5820 | 3.8424 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
