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Krisbiantoro
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mixtral_full

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  1. README.md +34 -24
  2. adapter_model.safetensors +1 -1
  3. runs/Apr12_11-05-10_llm-a100-40/events.out.tfevents.1712919948.llm-a100-40.5211.0 +2 -2
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9766
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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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: 2
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  - eval_batch_size: 1
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  - seed: 42
@@ -48,33 +48,43 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_ratio: 0.03
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- - num_epochs: 1.5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.3844 | 0.07 | 20 | 1.2695 |
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- | 1.1368 | 0.14 | 40 | 1.0996 |
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- | 1.0758 | 0.21 | 60 | 1.0459 |
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- | 1.0537 | 0.28 | 80 | 1.0269 |
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- | 1.0397 | 0.35 | 100 | 1.0147 |
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- | 1.0075 | 0.43 | 120 | 1.0059 |
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- | 1.0145 | 0.5 | 140 | 0.9990 |
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- | 0.9939 | 0.57 | 160 | 0.9937 |
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- | 1.0228 | 0.64 | 180 | 0.9895 |
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- | 1.0056 | 0.71 | 200 | 0.9858 |
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- | 0.999 | 0.78 | 220 | 0.9831 |
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- | 1.0084 | 0.85 | 240 | 0.9809 |
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- | 0.9957 | 0.92 | 260 | 0.9792 |
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- | 1.0033 | 0.99 | 280 | 0.9781 |
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- | 0.9884 | 1.06 | 300 | 0.9774 |
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- | 0.9906 | 1.13 | 320 | 0.9770 |
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- | 0.9893 | 1.2 | 340 | 0.9768 |
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- | 1.0005 | 1.28 | 360 | 0.9766 |
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- | 0.9824 | 1.35 | 380 | 0.9767 |
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- | 0.9886 | 1.42 | 400 | 0.9766 |
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- | 0.9828 | 1.49 | 420 | 0.9766 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9139
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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: 2
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  - eval_batch_size: 1
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  - seed: 42
 
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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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  - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 2.2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1966 | 0.07 | 20 | 1.1074 |
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+ | 1.0281 | 0.14 | 40 | 1.0284 |
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+ | 0.9837 | 0.21 | 60 | 0.9990 |
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+ | 0.992 | 0.28 | 80 | 0.9808 |
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+ | 0.9642 | 0.35 | 100 | 0.9685 |
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+ | 0.9706 | 0.42 | 120 | 0.9591 |
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+ | 0.9355 | 0.5 | 140 | 0.9523 |
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+ | 0.9253 | 0.57 | 160 | 0.9468 |
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+ | 0.9125 | 0.64 | 180 | 0.9412 |
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+ | 0.9232 | 0.71 | 200 | 0.9363 |
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+ | 0.9183 | 0.78 | 220 | 0.9320 |
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+ | 0.9175 | 0.85 | 240 | 0.9284 |
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+ | 0.9219 | 0.92 | 260 | 0.9253 |
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+ | 0.9028 | 0.99 | 280 | 0.9228 |
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+ | 0.8405 | 1.06 | 300 | 0.9251 |
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+ | 0.8429 | 1.13 | 320 | 0.9238 |
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+ | 0.8453 | 1.2 | 340 | 0.9231 |
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+ | 0.8722 | 1.27 | 360 | 0.9214 |
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+ | 0.8511 | 1.35 | 380 | 0.9200 |
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+ | 0.8471 | 1.42 | 400 | 0.9186 |
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+ | 0.8376 | 1.49 | 420 | 0.9171 |
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+ | 0.8372 | 1.56 | 440 | 0.9160 |
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+ | 0.8517 | 1.63 | 460 | 0.9155 |
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+ | 0.8244 | 1.7 | 480 | 0.9147 |
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+ | 0.8432 | 1.77 | 500 | 0.9140 |
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+ | 0.8519 | 1.84 | 520 | 0.9135 |
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+ | 0.8128 | 1.91 | 540 | 0.9135 |
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+ | 0.8296 | 1.98 | 560 | 0.9134 |
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+ | 0.7848 | 2.05 | 580 | 0.9138 |
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+ | 0.8166 | 2.12 | 600 | 0.9139 |
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+ | 0.7963 | 2.2 | 620 | 0.9139 |
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  ### Framework versions
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