Model save
Browse files- README.md +72 -0
- adapter_model.safetensors +1 -1
README.md
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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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- sft
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- generated_from_trainer
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model-index:
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- name: results
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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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# results
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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: 0.4878
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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: 1e-05
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- train_batch_size: 3
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 12
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 0.6255 | 1.9665 | 88 | 0.6068 |
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| 0.5655 | 3.9330 | 176 | 0.5801 |
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| 0.5342 | 5.8994 | 264 | 0.5503 |
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| 0.5044 | 7.8659 | 352 | 0.5312 |
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| 0.48 | 9.8324 | 440 | 0.5123 |
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| 0.4487 | 11.7989 | 528 | 0.5025 |
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| 0.4325 | 13.7654 | 616 | 0.4943 |
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| 0.4053 | 15.7318 | 704 | 0.4901 |
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| 0.4218 | 17.6983 | 792 | 0.4892 |
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| 0.4087 | 19.6648 | 880 | 0.4878 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.42.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 125889008
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version https://git-lfs.github.com/spec/v1
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oid sha256:39159d00c62e9ab2aed4e3686e5c1a1c10b12f4d8f805d9734eb16c845d39385
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size 125889008
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