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--- |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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library_name: peft |
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license: llama3 |
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tags: |
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- trl |
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- kto |
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- generated_from_trainer |
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model-index: |
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- name: llama3_false_positives_0609_KTO_hp_screening_seeds |
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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_false_positives_0609_KTO_hp_screening_seeds |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5033 |
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- Eval/rewards/chosen: 2.8767 |
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- Eval/logps/chosen: -164.0585 |
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- Eval/rewards/rejected: 2.4882 |
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- Eval/logps/rejected: -204.9874 |
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- Eval/rewards/margins: 0.3885 |
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- Eval/kl: 24.2343 |
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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: 1 |
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- eval_batch_size: 2 |
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- seed: 1234 |
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- gradient_accumulation_steps: 8 |
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- total_train_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: 6.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.6591 | 0.96 | 12 | 0.5834 | 0.2291 | |
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| 0.3244 | 2.0 | 25 | 0.5716 | 15.3529 | |
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| 0.0459 | 2.96 | 37 | 0.5362 | 20.4863 | |
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| 0.07 | 4.0 | 50 | 0.5089 | 23.8717 | |
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| 0.0208 | 4.96 | 62 | 0.4999 | 24.2550 | |
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| 0.0416 | 5.76 | 72 | 0.5033 | 24.2343 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.44.0 |
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- Pytorch 2.2.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
