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abvijaykumar
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finetuned-model

PEFT
Safetensors
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  1. README.md +11 -11
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.8626
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  ## Model description
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@@ -46,16 +46,16 @@ 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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- | No log | 1.0 | 6 | 7.9789 |
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- | No log | 2.0 | 12 | 7.9410 |
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- | No log | 3.0 | 18 | 7.9208 |
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- | No log | 4.0 | 24 | 7.9045 |
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- | No log | 5.0 | 30 | 7.8931 |
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- | No log | 6.0 | 36 | 7.8828 |
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- | No log | 7.0 | 42 | 7.8742 |
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- | No log | 8.0 | 48 | 7.8679 |
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- | No log | 9.0 | 54 | 7.8640 |
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- | No log | 10.0 | 60 | 7.8626 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.2640
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 6 | 7.2610 |
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+ | No log | 2.0 | 12 | 7.2626 |
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+ | No log | 3.0 | 18 | 7.2645 |
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+ | No log | 4.0 | 24 | 7.2673 |
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+ | No log | 5.0 | 30 | 7.2704 |
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+ | No log | 6.0 | 36 | 7.2702 |
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+ | No log | 7.0 | 42 | 7.2685 |
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+ | No log | 8.0 | 48 | 7.2662 |
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+ | No log | 9.0 | 54 | 7.2646 |
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+ | No log | 10.0 | 60 | 7.2640 |
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  ### Framework versions
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