Commit
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End of training
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/Llama-2-13b-hf
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library_name: peft
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license: llama2
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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: saiga13summary_v20LORA
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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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# saiga13summary_v20LORA
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This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1261
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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: 0.0003
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 10
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- total_train_batch_size: 20
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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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- training_steps: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.5616 | 0.8621 | 20 | 1.5150 |
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| 1.2729 | 1.7241 | 40 | 1.3544 |
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| 1.0355 | 2.5862 | 60 | 1.2262 |
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| 0.8974 | 3.4483 | 80 | 1.1656 |
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| 0.7686 | 4.3103 | 100 | 1.1302 |
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| 0.7841 | 5.1724 | 120 | 1.1226 |
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| 0.73 | 6.0345 | 140 | 1.1187 |
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| 0.7067 | 6.8966 | 160 | 1.1217 |
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| 0.6758 | 7.7586 | 180 | 1.1218 |
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| 0.6644 | 8.6207 | 200 | 1.1261 |
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### Framework versions
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- PEFT 0.12.1.dev0
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- Transformers 4.45.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.19.1
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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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-
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size 104900720
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd4776de79b19e929a6d6bf2ac412f386a145f8bd7a179571119da47e9f792a9
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size 104900720
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