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shawgpt-ft

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OpOp1/TI-GPT-2B-HWA

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  1. README.md +11 -9
  2. adapter_model.safetensors +1 -1
  3. runs/Apr02_20-22-08_c750c11bcf60/events.out.tfevents.1712089329.c750c11bcf60.3526.0 +3 -0
  4. 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 [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.0192
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  ## Model description
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@@ -51,14 +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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- | 7.1896 | 0.8 | 1 | 5.7603 |
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- | 7.1651 | 1.6 | 2 | 5.7046 |
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- | 7.0451 | 2.4 | 3 | 5.5801 |
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- | 3.4235 | 4.0 | 5 | 5.3421 |
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- | 6.6436 | 4.8 | 6 | 5.2394 |
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- | 6.5021 | 5.6 | 7 | 5.1538 |
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- | 6.3848 | 6.4 | 8 | 5.0876 |
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- | 3.1579 | 8.0 | 10 | 5.0192 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7817
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.063 | 1.0 | 10 | 3.5780 |
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+ | 3.31 | 2.0 | 20 | 3.0259 |
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+ | 2.8245 | 3.0 | 30 | 2.5810 |
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+ | 2.4092 | 4.0 | 40 | 2.2151 |
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+ | 2.1057 | 5.0 | 50 | 1.9864 |
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+ | 1.9341 | 6.0 | 60 | 1.8753 |
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+ | 1.8583 | 7.0 | 70 | 1.8140 |
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+ | 1.7906 | 8.0 | 80 | 1.7611 |
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+ | 1.7858 | 9.0 | 90 | 1.7852 |
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+ | 1.7948 | 10.0 | 100 | 1.7817 |
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  ### Framework versions
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