End of training
Browse files- README.md +20 -20
- adapter_model.bin +1 -1
README.md
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@@ -29,16 +29,16 @@ strict: false
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datasets:
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- path: ./data/openhermes2_5_10k.jsonl
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type: sharegpt
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conversation:
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dataset_prepared_path:
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val_set_size: 0.15
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output_dir: ./
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hub_model_id: venetis/llama3-8b-hermes-sandals-sample-10k
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data_seed: 117
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seed: 117
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chat_template:
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adapter: lora
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lora_model_dir:
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lora_r: 32
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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datasets:
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- path: ./data/openhermes2_5_10k.jsonl
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type: sharegpt
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conversation: chatml
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dataset_prepared_path:
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val_set_size: 0.15
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output_dir: ./lora-output-dir
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hub_model_id: venetis/llama3-8b-hermes-sandals-sample-10k
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data_seed: 117
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seed: 117
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+
chat_template: chatml
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adapter: lora
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lora_model_dir:
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lora_r: 32
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|
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|
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8913
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.9567 | 0.0102 | 1 | 1.0036 |
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| 0.7583 | 0.2545 | 25 | 0.8184 |
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| 0.8226 | 0.5089 | 50 | 0.8238 |
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| 0.7471 | 0.7634 | 75 | 0.8094 |
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| 0.7339 | 1.0178 | 100 | 0.7954 |
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| 0.4737 | 1.2494 | 125 | 0.8393 |
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| 0.4723 | 1.5038 | 150 | 0.8395 |
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| 0.5529 | 1.7583 | 175 | 0.8327 |
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| 0.4288 | 2.0127 | 200 | 0.8277 |
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| 0.2476 | 2.2468 | 225 | 0.8617 |
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| 0.2566 | 2.5013 | 250 | 0.8676 |
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| 0.2787 | 2.7557 | 275 | 0.8654 |
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| 0.3477 | 3.0102 | 300 | 0.8648 |
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| 0.1912 | 3.2392 | 325 | 0.8909 |
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| 0.1868 | 3.4936 | 350 | 0.8912 |
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| 0.1864 | 3.7481 | 375 | 0.8913 |
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### Framework versions
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adapter_model.bin
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size 4370694462
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