Jan Majkutewicz
commited on
Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1377 -0
README.md
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+
---
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base_model: alignment-handbook/zephyr-7b-sft-full
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: zephyr-7b-oasst1
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results: []
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---
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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/jan-majkutewicz/huggingface/runs/uistaj1t)
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# zephyr-7b-oasst1
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 1
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### Training results
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.42.3
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- Pytorch 2.2.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9994353472614342,
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"total_flos": 0.0,
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"train_loss": 0.6616038349388683,
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"train_runtime": 9964.5835,
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"train_samples": 14167,
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"train_samples_per_second": 1.422,
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"train_steps_per_second": 0.089
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}
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train_results.json
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{
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"epoch": 0.9994353472614342,
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"total_flos": 0.0,
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"train_loss": 0.6616038349388683,
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"train_runtime": 9964.5835,
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"train_samples": 14167,
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"train_samples_per_second": 1.422,
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"train_steps_per_second": 0.089
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}
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trainer_state.json
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