Model save
Browse files- README.md +6 -10
- all_results.json +4 -9
- generation_config.json +1 -1
- runs/Jul19_14-58-09_action-graph-trainer/events.out.tfevents.1721401122.action-graph-trainer.704471.0 +2 -2
- train_results.json +4 -4
- trainer_state.json +282 -282
README.md
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license: gemma
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base_model: google/gemma-2-9b
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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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- trl
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- sft
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- generated_from_trainer
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datasets:
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-
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model-index:
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- name: zephyr-gemma-2-9b-sft
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tanliboy/huggingface/runs/
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# zephyr-gemma-2-9b-sft
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This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.3.1+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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base_model: google/gemma-2-9b
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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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datasets:
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+
- generator
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model-index:
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- name: zephyr-gemma-2-9b-sft
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tanliboy/huggingface/runs/lk9oo65j)
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# zephyr-gemma-2-9b-sft
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+
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0639
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0962 | 0.9995 | 951 | 1.0639 |
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### Framework versions
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- Transformers 4.43.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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