Model save
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README.md
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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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-
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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
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It achieves the following results on the evaluation set:
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- Loss: 2.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- PEFT 0.
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- Transformers 4.
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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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| 0.906 | 6.0 | 609 | 2.5325 |
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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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1541 |
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1542 |
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