NanQiangHF
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llama3.1_8b_bwgenerator
Browse files- README.md +15 -13
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown 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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- total_train_batch_size: 256
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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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- num_epochs:
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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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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1193
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## Model description
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- total_train_batch_size: 256
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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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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2338 | 0.1456 | 20 | 0.3871 |
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| 0.3226 | 0.2911 | 40 | 0.2794 |
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| 0.2612 | 0.4367 | 60 | 0.2409 |
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| 0.2238 | 0.5822 | 80 | 0.2055 |
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| 0.1848 | 0.7278 | 100 | 0.1625 |
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| 0.1505 | 0.8733 | 120 | 0.1424 |
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| 0.1382 | 1.0189 | 140 | 0.1347 |
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| 0.1319 | 1.1644 | 160 | 0.1311 |
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| 0.1281 | 1.3100 | 180 | 0.1265 |
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| 0.1248 | 1.4555 | 200 | 0.1237 |
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| 0.1228 | 1.6011 | 220 | 0.1221 |
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| 0.1205 | 1.7466 | 240 | 0.1200 |
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| 0.1201 | 1.8922 | 260 | 0.1193 |
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### Framework versions
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adapter_model.safetensors
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training_args.bin
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