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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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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: Llama-31-8B_task-2_60-samples_config-2_full_auto |
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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-31-8B_task-2_60-samples_config-2_full_auto |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0466 |
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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: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 1.5031 | 0.6957 | 2 | 1.5181 | |
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| 1.4986 | 1.7391 | 5 | 1.4719 | |
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| 1.4173 | 2.7826 | 8 | 1.3915 | |
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| 1.3451 | 3.8261 | 11 | 1.3186 | |
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| 1.2588 | 4.8696 | 14 | 1.2547 | |
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| 1.2035 | 5.9130 | 17 | 1.1920 | |
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| 1.1045 | 6.9565 | 20 | 1.1348 | |
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| 1.074 | 8.0 | 23 | 1.0886 | |
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| 1.0261 | 8.6957 | 25 | 1.0743 | |
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| 0.9858 | 9.7391 | 28 | 1.0616 | |
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| 0.9944 | 10.7826 | 31 | 1.0531 | |
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| 0.9706 | 11.8261 | 34 | 1.0463 | |
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| 0.9367 | 12.8696 | 37 | 1.0399 | |
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| 0.9372 | 13.9130 | 40 | 1.0353 | |
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| 0.9054 | 14.9565 | 43 | 1.0335 | |
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| 0.9095 | 16.0 | 46 | 1.0299 | |
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| 0.8691 | 16.6957 | 48 | 1.0291 | |
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| 0.8796 | 17.7391 | 51 | 1.0303 | |
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| 0.865 | 18.7826 | 54 | 1.0309 | |
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| 0.8473 | 19.8261 | 57 | 1.0353 | |
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| 0.8304 | 20.8696 | 60 | 1.0361 | |
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| 0.8259 | 21.9130 | 63 | 1.0386 | |
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| 0.8022 | 22.9565 | 66 | 1.0422 | |
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| 0.7948 | 24.0 | 69 | 1.0466 | |
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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 2.1.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
