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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: 0.
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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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| 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: 0.9224
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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: 3e-05
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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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| 3.791 | 1.33 | 10 | 3.6476 |
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| 3.2811 | 2.67 | 20 | 2.9195 |
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| 2.3899 | 4.0 | 30 | 1.8723 |
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| 1.5443 | 5.33 | 40 | 1.3519 |
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| 1.2394 | 6.67 | 50 | 1.1884 |
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| 1.1162 | 8.0 | 60 | 1.1023 |
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| 1.0377 | 9.33 | 70 | 1.0551 |
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| 0.9831 | 10.67 | 80 | 1.0228 |
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| 0.9476 | 12.0 | 90 | 0.9988 |
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| 0.9032 | 13.33 | 100 | 0.9850 |
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| 0.8799 | 14.67 | 110 | 0.9668 |
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| 0.8581 | 16.0 | 120 | 0.9503 |
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| 0.8315 | 17.33 | 130 | 0.9457 |
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| 0.8077 | 18.67 | 140 | 0.9422 |
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| 0.7921 | 20.0 | 150 | 0.9362 |
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| 0.7752 | 21.33 | 160 | 0.9318 |
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| 0.7614 | 22.67 | 170 | 0.9306 |
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| 0.7559 | 24.0 | 180 | 0.9233 |
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| 0.7441 | 25.33 | 190 | 0.9237 |
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| 0.7345 | 26.67 | 200 | 0.9237 |
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| 0.7341 | 28.0 | 210 | 0.9205 |
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| 0.7288 | 29.33 | 220 | 0.9195 |
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| 0.7237 | 30.67 | 230 | 0.9219 |
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| 0.7255 | 32.0 | 240 | 0.9210 |
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| 0.7273 | 33.33 | 250 | 0.9224 |
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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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2024-07-17T16:
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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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2024-07-17T16:49:56,14ad89ba-873d-4177-8763-006e7acb7e4e,codecarbon,708.9762728214264,0.049197013388741065,0.07319796237858917,United Kingdom,GBR,scotland,N,,
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runs/Jul17_16-38-03_msc-modeltrain-pod/events.out.tfevents.1721234287.msc-modeltrain-pod.1471.0
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training_args.bin
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