Model save
Browse files- README.md +70 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: meta-llama/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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- llama-factory
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- generated_from_trainer
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model-index:
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- name: Llama-3.1-8B-Instruct-SFT-700
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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-3.1-8B-Instruct-SFT-700
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/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: 0.0484
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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: 5e-06
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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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: 10.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0723 | 1.2698 | 50 | 0.8589 |
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| 0.1579 | 2.5397 | 100 | 0.0773 |
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| 0.0839 | 3.8095 | 150 | 0.0536 |
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| 0.0861 | 5.0794 | 200 | 0.0506 |
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| 0.0624 | 6.3492 | 250 | 0.0495 |
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| 0.0824 | 7.6190 | 300 | 0.0486 |
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| 0.0931 | 8.8889 | 350 | 0.0484 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.45.2
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- Pytorch 2.3.0
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- Datasets 2.19.0
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- Tokenizers 0.20.0
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 83945296
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4ea0718e4076a1d82331c39ea287c1ebed5ee8093f9f0980693cb4e0040f479
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size 83945296
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