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-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- _load_in_8bit: False
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- _load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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- load_in_4bit: True
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- load_in_8bit: False
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### Training hyperparameters
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The following hyperparameters were used during training:
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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-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5909
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## Model description
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.3698 | 1.36 | 10 | 2.0432 |
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| 1.3777 | 2.71 | 20 | 1.0067 |
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| 0.8126 | 4.07 | 30 | 0.7822 |
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| 0.6642 | 5.42 | 40 | 0.7281 |
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| 0.5708 | 6.78 | 50 | 0.7218 |
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| 0.5062 | 8.14 | 60 | 0.7360 |
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| 0.4379 | 9.49 | 70 | 0.7781 |
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| 0.3924 | 10.85 | 80 | 0.8310 |
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| 0.3435 | 12.2 | 90 | 0.8856 |
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| 0.3041 | 13.56 | 100 | 1.0389 |
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| 0.2787 | 14.92 | 110 | 1.0664 |
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| 0.2553 | 16.27 | 120 | 1.1655 |
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| 0.2388 | 17.63 | 130 | 1.2397 |
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| 0.2288 | 18.98 | 140 | 1.2049 |
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| 0.2128 | 20.34 | 150 | 1.2746 |
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| 0.2081 | 21.69 | 160 | 1.3889 |
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| 0.1998 | 23.05 | 170 | 1.3942 |
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| 0.1909 | 24.41 | 180 | 1.4383 |
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| 0.188 | 25.76 | 190 | 1.5012 |
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| 0.1841 | 27.12 | 200 | 1.5246 |
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| 0.18 | 28.47 | 210 | 1.5528 |
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| 0.1794 | 29.83 | 220 | 1.5662 |
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| 0.1773 | 31.19 | 230 | 1.5788 |
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| 0.1751 | 32.54 | 240 | 1.5889 |
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| 0.1756 | 33.9 | 250 | 1.5909 |
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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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2024-07-29T17:37:10,0935c600-22ba-4896-8b40-c37f98e81ea9,codecarbon,653.414971113205,0.03352802686025582,0.04988480152957785,United Kingdom,GBR,scotland,N,,
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runs/Jul29_17-26-10_msc-modeltrain-pod/events.out.tfevents.1722273977.msc-modeltrain-pod.12449.0
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training_args.bin
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