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finetuned-model

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Safetensors
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  1. README.md +11 -18
  2. adapter_model.safetensors +1 -1
README.md CHANGED
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  ---
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  license: bigscience-bloom-rail-1.0
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- base_model: bigscience/bloom-560m
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # finetuned-model
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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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@@ -40,27 +40,20 @@ The following hyperparameters were used during training:
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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: linear
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- - num_epochs: 10
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  ### Training results
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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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- - Transformers 4.33.1
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- - Pytorch 2.0.1
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- - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  ---
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  license: bigscience-bloom-rail-1.0
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+ base_model: bigscience/bloomz-560m
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # finetuned-model
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+ This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8530
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  ## Model description
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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: linear
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+ - num_epochs: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 440 | 0.7633 |
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+ | 0.7403 | 2.0 | 880 | 0.8387 |
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+ | 0.8175 | 3.0 | 1320 | 0.8530 |
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.1
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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