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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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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: hansken_human_hql_v3 |
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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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# hansken_human_hql_v3 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5920 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6267 | 1.0 | 469 | 0.6078 | |
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| 0.5094 | 2.0 | 938 | 0.5335 | |
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| 0.513 | 3.0 | 1407 | 0.5142 | |
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| 0.4306 | 4.0 | 1876 | 0.5044 | |
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| 0.4128 | 5.0 | 2345 | 0.5017 | |
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| 0.3924 | 6.0 | 2814 | 0.5093 | |
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| 0.3684 | 7.0 | 3283 | 0.5168 | |
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| 0.3403 | 8.0 | 3752 | 0.5338 | |
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| 0.311 | 9.0 | 4221 | 0.5566 | |
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| 0.2853 | 10.0 | 4690 | 0.5920 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.43.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
