esfrankel17
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End of training
Browse files- README.md +5 -5
- all_results.json +8 -8
- eval_results.json +4 -4
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- train_results.json +4 -4
- trainer_log.jsonl +3 -3
- trainer_state.json +13 -13
- training_args.bin +2 -2
- training_eval_loss.png +0 -0
README.md
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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 PrincetonPLI/Instruct-SkillMix-SDD dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 1738
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.5333 | 1 |
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| No log | 1.6 | 3 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.
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- Datasets 2.21.0
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- Tokenizers 0.20.1
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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 PrincetonPLI/Instruct-SkillMix-SDD dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7085
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## Model description
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 1738
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.5333 | 1 | 1.8346 |
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| No log | 1.6 | 3 | 1.7085 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.20.1
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all_results.json
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