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--- |
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license: other |
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library_name: peft |
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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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base_model: meta-llama/Meta-Llama-3-8B |
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datasets: |
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- generator |
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model-index: |
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- name: llama-3-8b-hf-ft-chat-lora_1 |
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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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# llama-3-8b-hf-ft-chat-lora_1 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9295 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 0.3 |
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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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| 3.8283 | 0.9851 | 33 | 3.4186 | |
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| 2.711 | 2.0 | 67 | 2.5398 | |
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| 2.2647 | 2.9851 | 100 | 2.3353 | |
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| 2.0786 | 4.0 | 134 | 2.5266 | |
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| 1.9782 | 4.9851 | 167 | 2.9430 | |
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| 1.9104 | 6.0 | 201 | 2.9388 | |
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| 1.9121 | 6.9851 | 234 | 2.9504 | |
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| 1.9022 | 7.8806 | 264 | 2.9295 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
