End of training
Browse files- README.md +16 -10
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +13 -13
- runs/Jul25_01-23-17_action-graph-trainer/events.out.tfevents.1721883328.action-graph-trainer.762006.1 +3 -0
README.md
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license: gemma
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base_model: tanliboy/zephyr-gemma-2-9b-sft
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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-gemma-2-9b-dpo-2
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results: []
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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/dikk0994)
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# zephyr-gemma-2-9b-dpo-2
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This model is a fine-tuned version of [tanliboy/zephyr-gemma-2-9b-sft](https://huggingface.co/tanliboy/zephyr-gemma-2-9b-sft) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -0.
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- Rewards/rejected: -1.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -14.
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- Logits/chosen: -14.
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## Model description
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license: gemma
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base_model: tanliboy/zephyr-gemma-2-9b-sft
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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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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: zephyr-gemma-2-9b-dpo-2
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results: []
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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/dikk0994)
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# zephyr-gemma-2-9b-dpo-2
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This model is a fine-tuned version of [tanliboy/zephyr-gemma-2-9b-sft](https://huggingface.co/tanliboy/zephyr-gemma-2-9b-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5628
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- Rewards/chosen: -0.7292
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- Rewards/rejected: -1.2825
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- Rewards/accuracies: 0.6960
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- Rewards/margins: 0.5533
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- Logps/rejected: -1566.9301
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- Logps/chosen: -1043.5624
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- Logits/rejected: -14.1720
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- Logits/chosen: -14.6638
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## Model description
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all_results.json
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{
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"epoch": 0.9965977492802931,
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"total_flos": 0.0,
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"train_loss": 0.6157421479706003,
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"train_runtime": 11733.4361,
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{
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"epoch": 0.9965977492802931,
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"eval_logits/chosen": -14.663813591003418,
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"eval_logits/rejected": -14.17200756072998,
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"eval_logps/chosen": -1043.5623779296875,
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"eval_logps/rejected": -1566.9300537109375,
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"eval_loss": 0.5627544522285461,
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"eval_rewards/accuracies": 0.6959999799728394,
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"eval_rewards/chosen": -0.7292414307594299,
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"eval_rewards/margins": 0.5532797574996948,
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"eval_rewards/rejected": -1.2825212478637695,
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"eval_runtime": 148.9641,
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"eval_samples": 2000,
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"eval_samples_per_second": 13.426,
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"eval_steps_per_second": 0.839,
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"total_flos": 0.0,
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"train_loss": 0.6157421479706003,
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"train_runtime": 11733.4361,
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config.json
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"sliding_window_size": 4096,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.1",
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"use_cache":
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"vocab_size": 256000
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}
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"sliding_window_size": 4096,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.1",
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"use_cache": true,
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"vocab_size": 256000
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}
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eval_results.json
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{
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"epoch": 0.
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"eval_logits/chosen": -14.
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"eval_logits/rejected": -14.
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"eval_logps/chosen": -
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"eval_logps/rejected": -
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen": -0.
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"eval_rewards/margins": 0.
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"eval_rewards/rejected": -1.
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"eval_runtime": 148.
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"eval_samples": 2000,
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"eval_samples_per_second": 13.
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"eval_steps_per_second": 0.
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}
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{
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"epoch": 0.9965977492802931,
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"eval_logits/chosen": -14.663813591003418,
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"eval_logits/rejected": -14.17200756072998,
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"eval_logps/chosen": -1043.5623779296875,
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"eval_logps/rejected": -1566.9300537109375,
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"eval_loss": 0.5627544522285461,
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"eval_rewards/accuracies": 0.6959999799728394,
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"eval_rewards/chosen": -0.7292414307594299,
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"eval_rewards/margins": 0.5532797574996948,
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"eval_rewards/rejected": -1.2825212478637695,
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"eval_runtime": 148.9641,
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"eval_samples": 2000,
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"eval_samples_per_second": 13.426,
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"eval_steps_per_second": 0.839
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}
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runs/Jul25_01-23-17_action-graph-trainer/events.out.tfevents.1721883328.action-graph-trainer.762006.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:d04ba8b066fe7c9986abc7fb42d8f7072e5464d05e67bd4d250128eb7fc27d4e
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size 828
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