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-7b
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datasets:
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-
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model-index:
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- name: gemma7b-summarize-claude3sonnet-30k
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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/chansung18/huggingface/runs/
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# gemma7b-summarize-claude3sonnet-30k
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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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-7b
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datasets:
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+
- generator
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model-index:
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- name: gemma7b-summarize-claude3sonnet-30k
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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/chansung18/huggingface/runs/7bdtvabz)
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# gemma7b-summarize-claude3sonnet-30k
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0044
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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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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| 1.0072 | 1.0 | 148 | 2.2672 |
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| 0.8705 | 2.0 | 296 | 2.1745 |
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| 0.7957 | 3.0 | 444 | 2.1914 |
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| 0.731 | 4.0 | 592 | 2.2511 |
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| 0.634 | 5.0 | 740 | 2.3409 |
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| 0.5418 | 6.0 | 888 | 2.4841 |
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| 0.4578 | 7.0 | 1036 | 2.6822 |
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| 0.3886 | 8.0 | 1184 | 2.8497 |
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| 0.3611 | 9.0 | 1332 | 2.9868 |
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| 0.3501 | 10.0 | 1480 | 3.0044 |
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### Framework versions
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adapter_model.safetensors
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