Model save
Browse files- README.md +8 -7
- all_results.json +6 -11
- train_results.json +6 -6
- trainer_state.json +72 -42
README.md
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@@ -3,7 +3,6 @@ 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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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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@@ -19,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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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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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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### Framework versions
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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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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5113
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## Model description
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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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- training_steps: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.4578 | 0.7692 | 5 | 1.7601 |
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| 1.4794 | 1.5385 | 10 | 1.5840 |
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| 1.3439 | 2.3077 | 15 | 1.4991 |
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| 1.0898 | 3.0769 | 20 | 1.4789 |
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| 1.0223 | 3.8462 | 25 | 1.5093 |
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| 0.9906 | 4.6154 | 30 | 1.5113 |
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### Framework versions
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all_results.json
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train_results.json
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trainer_state.json
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