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nourijel/robotics_finetuned_text_perception

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  1. README.md +11 -11
  2. runs/Apr02_15-54-30_gpunode2/events.out.tfevents.1712087670.gpunode2.39298.0 +3 -0
  3. runs/Apr02_15-58-29_gpunode2/events.out.tfevents.1712087910.gpunode2.39925.0 +3 -0
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  25. runs/Apr03_10-12-28_gpunode2/events.out.tfevents.1712153549.gpunode2.2006516.0 +3 -0
  26. runs/Apr03_10-19-15_gpunode34/events.out.tfevents.1712153956.gpunode34.3427412.0 +3 -0
  27. 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 [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7184
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  ## Model description
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@@ -51,16 +51,16 @@ 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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- | 1.799 | 1.0 | 10 | 1.6444 |
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- | 1.5676 | 2.0 | 20 | 1.4956 |
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- | 1.4631 | 3.0 | 30 | 1.4307 |
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- | 1.3872 | 4.0 | 40 | 1.3324 |
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- | 1.2639 | 5.0 | 50 | 1.1943 |
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- | 1.1275 | 6.0 | 60 | 1.0552 |
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- | 0.9957 | 7.0 | 70 | 0.9260 |
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- | 0.883 | 8.0 | 80 | 0.8276 |
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- | 0.7996 | 9.0 | 90 | 0.7563 |
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- | 0.7415 | 10.0 | 100 | 0.7184 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1330
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1284 | 0.98 | 11 | 0.7789 |
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+ | 0.6556 | 1.96 | 22 | 0.5358 |
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+ | 0.4906 | 2.93 | 33 | 0.4536 |
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+ | 0.3796 | 4.0 | 45 | 0.3670 |
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+ | 0.3298 | 4.98 | 56 | 0.2929 |
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+ | 0.2565 | 5.96 | 67 | 0.2295 |
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+ | 0.2017 | 6.93 | 78 | 0.1827 |
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+ | 0.1484 | 8.0 | 90 | 0.1500 |
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+ | 0.138 | 8.98 | 101 | 0.1367 |
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+ | 0.1226 | 9.78 | 110 | 0.1330 |
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  ### Framework versions
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