Model save
Browse files- README.md +70 -0
- adapter_model.safetensors +1 -1
README.md
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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: Meta-Llama-3-8B-VIGGO-qlora
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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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# Meta-Llama-3-8B-VIGGO-qlora
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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: 0.6168
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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: 4
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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: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5174 | 0.99 | 25 | 0.5002 |
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| 0.4168 | 1.98 | 50 | 0.4846 |
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| 0.3898 | 2.97 | 75 | 0.4930 |
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| 0.3179 | 4.0 | 101 | 0.5523 |
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| 0.2378 | 4.95 | 125 | 0.6168 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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adapter_model.safetensors
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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 335605144
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version https://git-lfs.github.com/spec/v1
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oid sha256:5cd300ef0afb5ca06523357c30468171ea6c50518a0fe09891755003289d31c9
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size 335605144
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