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End of training

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  1. README.md +26 -40
  2. adapter_model.safetensors +1 -1
  3. emissions.csv +1 -1
  4. runs/Jul29_17-26-10_msc-modeltrain-pod/events.out.tfevents.1722273977.msc-modeltrain-pod.12449.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.4554
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  ## Model description
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@@ -32,20 +32,6 @@ More information needed
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  ## Training procedure
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-
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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:
@@ -64,31 +50,31 @@ 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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- | 3.4063 | 1.36 | 10 | 2.0249 |
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- | 1.4234 | 2.71 | 20 | 1.1088 |
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- | 0.9874 | 4.07 | 30 | 0.8900 |
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- | 0.7207 | 5.42 | 40 | 0.6961 |
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- | 0.5784 | 6.78 | 50 | 0.6823 |
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- | 0.5088 | 8.14 | 60 | 0.6767 |
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- | 0.4453 | 9.49 | 70 | 0.7067 |
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- | 0.3935 | 10.85 | 80 | 0.7432 |
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- | 0.3417 | 12.2 | 90 | 0.8008 |
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- | 0.3026 | 13.56 | 100 | 0.9167 |
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- | 0.2754 | 14.92 | 110 | 0.9432 |
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- | 0.2507 | 16.27 | 120 | 0.9834 |
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- | 0.2359 | 17.63 | 130 | 1.0581 |
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- | 0.2213 | 18.98 | 140 | 1.1612 |
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- | 0.2075 | 20.34 | 150 | 1.1553 |
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- | 0.2011 | 21.69 | 160 | 1.3062 |
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- | 0.1959 | 23.05 | 170 | 1.3247 |
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- | 0.1891 | 24.41 | 180 | 1.3318 |
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- | 0.1865 | 25.76 | 190 | 1.3603 |
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- | 0.1825 | 27.12 | 200 | 1.3980 |
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- | 0.1797 | 28.47 | 210 | 1.4180 |
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- | 0.178 | 29.83 | 220 | 1.4311 |
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- | 0.176 | 31.19 | 230 | 1.4476 |
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- | 0.1748 | 32.54 | 240 | 1.4538 |
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- | 0.1753 | 33.9 | 250 | 1.4554 |
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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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