cat-searcher
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Commit
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Model save
Browse files- README.md +4 -9
- all_results.json +5 -5
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +0 -0
README.md
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license: gemma
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base_model: google/gemma-1.1-2b-it
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- cat-searcher/responses-gemma-1.1-2b-it-split-0-evol-mixed-pair
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model-index:
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- name: gemma-1.1-2b-it-sppo-iter0-evol-mixed
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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/the-dream-machine/huggingface/runs/
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# gemma-1.1-2b-it-sppo-iter0-evol-mixed
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This model is a fine-tuned version of [google/gemma-1.1-2b-it](https://huggingface.co/google/gemma-1.1-2b-it) on
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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: linear
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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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license: gemma
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base_model: google/gemma-1.1-2b-it
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tags:
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- trl
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- dpo
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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: gemma-1.1-2b-it-sppo-iter0-evol-mixed
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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/the-dream-machine/huggingface/runs/4dtfeber)
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# gemma-1.1-2b-it-sppo-iter0-evol-mixed
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This model is a fine-tuned version of [google/gemma-1.1-2b-it](https://huggingface.co/google/gemma-1.1-2b-it) on an unknown dataset.
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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: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 36.0
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### Training results
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all_results.json
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{
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"epoch":
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"total_flos": 0.0,
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"train_loss":
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"train_runtime":
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"train_samples": 12624,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 35.95443037974684,
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"total_flos": 0.0,
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"train_loss": 6426.156043451248,
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"train_runtime": 5724.5218,
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"train_samples": 12624,
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"train_samples_per_second": 79.389,
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"train_steps_per_second": 1.239
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}
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model-00001-of-00002.safetensors
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model-00002-of-00002.safetensors
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train_results.json
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{
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"epoch":
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"total_flos": 0.0,
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"train_loss":
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"train_runtime":
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"train_samples": 12624,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 35.95443037974684,
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"total_flos": 0.0,
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"train_loss": 6426.156043451248,
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"train_runtime": 5724.5218,
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"train_samples": 12624,
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"train_samples_per_second": 79.389,
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"train_steps_per_second": 1.239
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}
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trainer_state.json
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