Casper0508
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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:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size: 64
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.
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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: 0.7622
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.7647 | 1.36 | 10 | 3.3602 |
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| 2.8 | 2.71 | 20 | 2.0480 |
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| 1.5819 | 4.07 | 30 | 1.2852 |
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| 1.1832 | 5.42 | 40 | 1.1025 |
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| 1.0318 | 6.78 | 50 | 1.0150 |
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| 0.9674 | 8.14 | 60 | 0.9718 |
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| 0.8975 | 9.49 | 70 | 0.9348 |
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| 0.8375 | 10.85 | 80 | 0.8912 |
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| 0.7851 | 12.2 | 90 | 0.8685 |
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| 0.728 | 13.56 | 100 | 0.8443 |
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| 0.6804 | 14.92 | 110 | 0.8038 |
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| 0.6123 | 16.27 | 120 | 0.7684 |
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| 0.5536 | 17.63 | 130 | 0.7314 |
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| 0.4922 | 18.98 | 140 | 0.6943 |
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| 0.4738 | 20.34 | 150 | 0.7095 |
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| 0.4467 | 21.69 | 160 | 0.7344 |
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| 0.4452 | 23.05 | 170 | 0.7397 |
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| 0.4258 | 24.41 | 180 | 0.7332 |
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| 0.4179 | 25.76 | 190 | 0.7436 |
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| 0.4105 | 27.12 | 200 | 0.7373 |
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| 0.4081 | 28.47 | 210 | 0.7596 |
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| 0.4005 | 29.83 | 220 | 0.7552 |
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| 0.4001 | 31.19 | 230 | 0.7652 |
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| 0.393 | 32.54 | 240 | 0.7612 |
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| 0.4016 | 33.9 | 250 | 0.7622 |
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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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2024-07-17T20:05:05,a2d5e5ed-35d4-4380-9b5c-d7337e3b0d8b,codecarbon,1308.196786403656,0.08001020888288951,0.11904349179564445,United Kingdom,GBR,scotland,N,,
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runs/Jul17_19-43-13_msc-modeltrain-pod/events.out.tfevents.1721245397.msc-modeltrain-pod.2588.0
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training_args.bin
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