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End of training
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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 None 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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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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-3-8B](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: 1.5993
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.329 | 1.33 | 10 | 1.8003 |
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| 1.296 | 2.67 | 20 | 1.0774 |
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| 0.9489 | 4.0 | 30 | 0.9022 |
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| 0.7167 | 5.33 | 40 | 0.7270 |
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| 0.552 | 6.67 | 50 | 0.7372 |
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| 0.4766 | 8.0 | 60 | 0.7281 |
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| 0.4153 | 9.33 | 70 | 0.7673 |
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| 0.3614 | 10.67 | 80 | 0.8597 |
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| 0.3238 | 12.0 | 90 | 0.8915 |
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| 0.2923 | 13.33 | 100 | 0.9281 |
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| 0.2648 | 14.67 | 110 | 1.0239 |
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| 0.2483 | 16.0 | 120 | 1.0198 |
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| 0.2311 | 17.33 | 130 | 1.1314 |
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| 0.2196 | 18.67 | 140 | 1.2578 |
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| 0.2109 | 20.0 | 150 | 1.3155 |
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| 0.1997 | 21.33 | 160 | 1.2602 |
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| 0.1927 | 22.67 | 170 | 1.4758 |
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| 0.191 | 24.0 | 180 | 1.4080 |
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| 0.1834 | 25.33 | 190 | 1.4783 |
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| 0.1799 | 26.67 | 200 | 1.5217 |
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| 0.1796 | 28.0 | 210 | 1.5525 |
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| 0.1738 | 29.33 | 220 | 1.5714 |
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| 0.1725 | 30.67 | 230 | 1.5953 |
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| 0.1727 | 32.0 | 240 | 1.5980 |
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| 0.172 | 33.33 | 250 | 1.5993 |
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### Framework versions
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adapter_model.safetensors
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emissions.csv
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2024-07-
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2024-07-17T17:04:02,acf495a5-fe7d-4741-820f-f1df91f69def,codecarbon,714.2170021533966,0.0483531364122497,0.07194239682851639,United Kingdom,GBR,scotland,N,,
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runs/Jul17_16-52-03_msc-modeltrain-pod/events.out.tfevents.1721235127.msc-modeltrain-pod.1963.0
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training_args.bin
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