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Commit
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Model save

Browse files
README.md CHANGED
@@ -2,13 +2,12 @@
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  license: gemma
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  library_name: peft
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  tags:
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- - alignment-handbook
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  - trl
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  - sft
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  - generated_from_trainer
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  base_model: google/gemma-2b
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  datasets:
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- - llama-duo/synth_summarize_dataset_dedup
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  model-index:
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  - name: gemma2b-summarize-claude3sonnet-32k
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  results: []
@@ -19,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # gemma2b-summarize-claude3sonnet-32k
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- This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the llama-duo/synth_summarize_dataset_dedup dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5238
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  ## Model description
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@@ -58,22 +57,22 @@ 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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- | 1.2361 | 0.9951 | 101 | 2.5186 |
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- | 1.0968 | 2.0 | 203 | 2.4845 |
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- | 1.0436 | 2.9951 | 304 | 2.4796 |
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- | 1.0084 | 4.0 | 406 | 2.4944 |
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- | 0.9913 | 4.9951 | 507 | 2.5010 |
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- | 0.9588 | 6.0 | 609 | 2.5066 |
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- | 0.9459 | 6.9951 | 710 | 2.5164 |
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- | 0.943 | 8.0 | 812 | 2.5233 |
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- | 0.9169 | 8.9951 | 913 | 2.5240 |
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- | 0.925 | 9.9507 | 1010 | 2.5238 |
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  ### Framework versions
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- - PEFT 0.10.0
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- - Transformers 4.40.0
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  - Pytorch 2.2.2+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  license: gemma
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  library_name: peft
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  tags:
 
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  - trl
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  - sft
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  - generated_from_trainer
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  base_model: google/gemma-2b
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  datasets:
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+ - generator
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  model-index:
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  - name: gemma2b-summarize-claude3sonnet-32k
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  results: []
 
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  # gemma2b-summarize-claude3sonnet-32k
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+ This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5627
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.187 | 0.9951 | 101 | 2.4971 |
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+ | 1.0678 | 2.0 | 203 | 2.4806 |
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+ | 1.0113 | 2.9951 | 304 | 2.4777 |
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+ | 0.9692 | 4.0 | 406 | 2.5005 |
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+ | 0.9448 | 4.9951 | 507 | 2.5205 |
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+ | 0.8867 | 6.9951 | 710 | 2.5459 |
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+ | 0.8783 | 8.0 | 812 | 2.5595 |
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+ | 0.8501 | 8.9951 | 913 | 2.5624 |
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+ | 0.8569 | 9.9507 | 1010 | 2.5627 |
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  ### Framework versions
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+ - PEFT 0.11.1
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+ - Transformers 4.41.2
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  - Pytorch 2.2.2+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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