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shawgpt-ft

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OpOp1/TI-GPT-2BX

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  1. README.md +8 -8
  2. adapter_model.safetensors +1 -1
  3. runs/Mar31_14-47-40_2b015d01cbf1/events.out.tfevents.1711896460.2b015d01cbf1.22389.0 +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: 5.0281
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  ## Model description
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@@ -52,13 +52,13 @@ 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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- | 7.1647 | 1.6 | 2 | 5.7035 |
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- | 7.0439 | 2.4 | 3 | 5.5787 |
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- | 3.4231 | 4.0 | 5 | 5.3434 |
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- | 6.6454 | 4.8 | 6 | 5.2429 |
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- | 6.5081 | 5.6 | 7 | 5.1593 |
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- | 6.3933 | 6.4 | 8 | 5.0950 |
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- | 3.1633 | 8.0 | 10 | 5.0281 |
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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: 5.0192
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  ## Model description
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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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