Model save
Browse files- README.md +22 -19
- all_results.json +4 -4
- model.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +1875 -9
README.md
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license: apache-2.0
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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tags:
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- alignment-handbook
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- ndcg
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- trl
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- expo
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- generated_from_trainer
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- trl
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- expo
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- alignment-handbook
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- ndcg
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- generated_from_trainer
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datasets:
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- hZzy/train_pairwise
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model-index:
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- name: qwen2.5-0.5b-expo-DPO-ES-TRY
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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/zhiyuzha-university-of-florida/huggingface/runs/
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# qwen2.5-0.5b-expo-DPO-ES-TRY
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-
This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Logps: -
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- Logits: -2.
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- Objective: 0.
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- Dpo Loss: 0.
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- Regularize: 0.
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- Ranking Simple: 0.
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- Ranking Idealized: 0.6046
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- Ranking Idealized Expo: 0.5280
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- Dpo Wo Beta: -6.
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## Model description
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 6
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-
- gradient_accumulation_steps:
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- total_train_batch_size:
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- total_eval_batch_size: 12
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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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| 0.1227 | 2.1030 | 371 | 0.9224 | -6.4510 | -1.8645 | -122.0016 | 0.8844 | 0.9224 | 0.5888 | 0.5093 | 0.5424 | 0.9224 |
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| 0.133 | 2.4034 | 424 | 0.8786 | -5.8878 | -2.0277 | -117.1217 | 0.8448 | 0.8786 | 0.5888 | 0.5093 | 0.5413 | 0.8786 |
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| 0.1211 | 2.7085 | 477 | 0.8739 | -5.8152 | -2.0272 | -116.4230 | 0.8371 | 0.8739 | 0.5888 | 0.5093 | 0.5403 | 0.8739 |
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### Framework versions
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license: apache-2.0
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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tags:
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- trl
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- expo
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- alignment-handbook
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- ndcg
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- generated_from_trainer
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model-index:
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- name: qwen2.5-0.5b-expo-DPO-ES-TRY
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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/zhiyuzha-university-of-florida/huggingface/runs/rg2tu2w0)
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# qwen2.5-0.5b-expo-DPO-ES-TRY
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+
This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8682
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- Logps: -123.1454
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- Logits: -2.5127
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- Objective: 0.8882
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- Dpo Loss: 0.8882
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- Regularize: 0.8882
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- Ranking Simple: 0.5600
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- Ranking Idealized: 0.6046
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- Ranking Idealized Expo: 0.5280
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- Dpo Wo Beta: -6.1537
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## Model description
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 6
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- gradient_accumulation_steps: 6
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- total_train_batch_size: 72
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- total_eval_batch_size: 12
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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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| 0.1227 | 2.1030 | 371 | 0.9224 | -6.4510 | -1.8645 | -122.0016 | 0.8844 | 0.9224 | 0.5888 | 0.5093 | 0.5424 | 0.9224 |
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| 0.133 | 2.4034 | 424 | 0.8786 | -5.8878 | -2.0277 | -117.1217 | 0.8448 | 0.8786 | 0.5888 | 0.5093 | 0.5413 | 0.8786 |
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| 0.1211 | 2.7085 | 477 | 0.8739 | -5.8152 | -2.0272 | -116.4230 | 0.8371 | 0.8739 | 0.5888 | 0.5093 | 0.5403 | 0.8739 |
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| 0.0858 | 1.5045 | 530 | 0.8753 | -5.9229 | -2.4530 | -118.2529 | 0.8505 | 0.8753 | 0.6046 | 0.5280 | 0.5683 | 0.8753 |
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| 0.1274 | 1.6547 | 583 | 0.8264 | -5.2847 | -2.4380 | -119.5907 | 0.8086 | 0.8264 | 0.6046 | 0.5280 | 0.5870 | 0.8264 |
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| 0.1614 | 1.8049 | 636 | 0.8243 | -5.2813 | -2.4850 | -117.8585 | 0.8209 | 0.8243 | 0.6046 | 0.5280 | 0.5818 | 0.8243 |
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| 0.1616 | 1.9551 | 689 | 0.8576 | -5.7234 | -2.4656 | -119.3221 | 0.8383 | 0.8576 | 0.6046 | 0.5280 | 0.5797 | 0.8576 |
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| 0.1063 | 2.1053 | 742 | 0.9824 | -7.3310 | -2.2712 | -133.3637 | 0.9486 | 0.9824 | 0.6046 | 0.5280 | 0.5518 | 0.9824 |
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| 0.1017 | 2.2556 | 795 | 0.8904 | -6.2055 | -2.4490 | -123.5745 | 0.8711 | 0.8904 | 0.6046 | 0.5280 | 0.5683 | 0.8904 |
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| 0.1225 | 2.4058 | 848 | 0.9035 | -6.3529 | -2.4743 | -124.5336 | 0.8822 | 0.9035 | 0.6046 | 0.5280 | 0.5569 | 0.9035 |
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| 0.1157 | 2.5583 | 901 | 0.8718 | -124.4583 | -2.4886 | 0.8941 | 0.8941 | 0.8941 | 0.5621 | 0.6046 | 0.5280 | -6.2136 |
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| 0.1387 | 2.7085 | 954 | 0.8688 | -123.4143 | -2.5086 | 0.8892 | 0.8892 | 0.8892 | 0.5580 | 0.6046 | 0.5280 | -6.1610 |
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| 0.1219 | 2.8588 | 1007 | 0.8682 | -123.1454 | -2.5127 | 0.8882 | 0.8882 | 0.8882 | 0.5600 | 0.6046 | 0.5280 | -6.1537 |
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### Framework versions
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all_results.json
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"eval_samples_per_second": 18.1,
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"eval_steps_per_second": 1.51,
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"total_flos": 0.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 50802,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"eval_samples_per_second": 18.1,
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"eval_steps_per_second": 1.51,
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"total_flos": 0.0,
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"train_loss": 0.022545777056648425,
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"train_runtime": 4386.5835,
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"train_samples": 50802,
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"train_samples_per_second": 34.744,
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"train_steps_per_second": 0.241
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1975192208
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:194207d30450b9e4443cc4f6e08ed7bac1e41c86af1d51b105835e6a19278e3d
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size 1975192208
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train_results.json
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{
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"epoch": 2.9976381672177608,
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"total_flos": 0.0,
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-
"train_loss": 0.
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-
"train_runtime":
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"train_samples": 50802,
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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": 2.9976381672177608,
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"total_flos": 0.0,
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"train_loss": 0.022545777056648425,
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"train_runtime": 4386.5835,
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"train_samples": 50802,
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"train_samples_per_second": 34.744,
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"train_steps_per_second": 0.241
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}
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trainer_state.json
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{
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-
"best_metric": 0.
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"best_model_checkpoint": "./qwen2.5-0.5b/qwen2.5-0.5b-expo-DPO-ES-TRY/checkpoint-
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"epoch": 2.9976381672177608,
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"eval_steps": 53,
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"regularize": 0.13335375487804413,
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"step": 525
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},
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|
| 1860 |
{
|
| 1861 |
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|
| 1862 |
-
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|
| 1863 |
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|
| 1864 |
-
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|
| 1865 |
-
"train_runtime":
|
| 1866 |
-
"train_samples_per_second":
|
| 1867 |
-
"train_steps_per_second":
|
| 1868 |
}
|
| 1869 |
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|
| 1870 |
"logging_steps": 5,
|
| 1871 |
-
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|
| 1872 |
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|
| 1873 |
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|
| 1874 |
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|
|
|
|
| 1 |
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|
| 2 |
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|
| 3 |
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|
| 4 |
"epoch": 2.9976381672177608,
|
| 5 |
"eval_steps": 53,
|
| 6 |
+
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|
| 7 |
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|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 1857 |
"regularize": 0.13335375487804413,
|
| 1858 |
"step": 525
|
| 1859 |
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|
| 1860 |
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|
| 1861 |
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"dpo_loss": 0.08052093535661697,
|
| 1862 |
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"dpo_wo_beta": -0.004379949066787958,
|
| 1863 |
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|
| 1864 |
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"grad_norm": 9.015683090612498,
|
| 1865 |
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"learning_rate": 2.9196388040863695e-06,
|
| 1866 |
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"logits": -1.833287239074707,
|
| 1867 |
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|
| 1868 |
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"loss": 0.0858,
|
| 1869 |
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"objective": 0.08052093535661697,
|
| 1870 |
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"ranking_idealized": 0.6666666865348816,
|
| 1871 |
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"ranking_idealized_expo": 0.5416666865348816,
|
| 1872 |
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"ranking_simple": 0.9375,
|
| 1873 |
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|
| 1874 |
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|
| 1875 |
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|
| 1876 |
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|
| 1877 |
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|
| 1878 |
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"eval_dpo_loss": 0.8753401041030884,
|
| 1879 |
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"eval_dpo_wo_beta": -5.922874450683594,
|
| 1880 |
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"eval_logits": -2.4529590606689453,
|
| 1881 |
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"eval_logps": -118.25288391113281,
|
| 1882 |
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"eval_loss": 0.8505071997642517,
|
| 1883 |
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"eval_objective": 0.8753401041030884,
|
| 1884 |
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"eval_ranking_idealized": 0.6045548915863037,
|
| 1885 |
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"eval_ranking_idealized_expo": 0.5279502868652344,
|
| 1886 |
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"eval_ranking_simple": 0.5683229565620422,
|
| 1887 |
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"eval_regularize": 0.8753401041030884,
|
| 1888 |
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"eval_runtime": 344.4459,
|
| 1889 |
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"eval_samples_per_second": 16.81,
|
| 1890 |
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"eval_steps_per_second": 1.402,
|
| 1891 |
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"step": 530
|
| 1892 |
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|
| 1893 |
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|
| 1894 |
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"dpo_loss": 0.06306228041648865,
|
| 1895 |
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"dpo_wo_beta": -0.08629266172647476,
|
| 1896 |
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|
| 1897 |
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"grad_norm": 12.634106279395441,
|
| 1898 |
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"learning_rate": 2.8788330549198512e-06,
|
| 1899 |
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"logits": -1.8371531963348389,
|
| 1900 |
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"logps": -115.510009765625,
|
| 1901 |
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|
| 1902 |
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"objective": 0.06306228041648865,
|
| 1903 |
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"ranking_idealized": 0.550000011920929,
|
| 1904 |
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"ranking_idealized_expo": 0.4833333194255829,
|
| 1905 |
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"ranking_simple": 0.9166666865348816,
|
| 1906 |
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"regularize": 0.06306228041648865,
|
| 1907 |
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|
| 1908 |
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|
| 1909 |
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|
| 1910 |
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"dpo_loss": 0.13102607429027557,
|
| 1911 |
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|
| 1912 |
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|
| 1913 |
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|
| 1914 |
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|
| 1915 |
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"logits": -1.7649121284484863,
|
| 1916 |
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"logps": -127.44564819335938,
|
| 1917 |
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|
| 1918 |
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"objective": 0.13102607429027557,
|
| 1919 |
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"ranking_idealized": 0.5833333134651184,
|
| 1920 |
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"ranking_idealized_expo": 0.5249999761581421,
|
| 1921 |
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"ranking_simple": 0.8999999761581421,
|
| 1922 |
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"regularize": 0.13102607429027557,
|
| 1923 |
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"step": 540
|
| 1924 |
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|
| 1925 |
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|
| 1926 |
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"dpo_loss": 0.12010473757982254,
|
| 1927 |
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"dpo_wo_beta": -0.2892196476459503,
|
| 1928 |
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|
| 1929 |
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"grad_norm": 18.74636858022955,
|
| 1930 |
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"learning_rate": 2.7969220332622004e-06,
|
| 1931 |
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"logits": -1.7403244972229004,
|
| 1932 |
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"logps": -126.89453125,
|
| 1933 |
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"loss": 0.1114,
|
| 1934 |
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"objective": 0.12010473757982254,
|
| 1935 |
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"ranking_idealized": 0.6499999761581421,
|
| 1936 |
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"ranking_idealized_expo": 0.550000011920929,
|
| 1937 |
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"ranking_simple": 0.925000011920929,
|
| 1938 |
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"regularize": 0.12010473757982254,
|
| 1939 |
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"step": 545
|
| 1940 |
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|
| 1941 |
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|
| 1942 |
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|
| 1943 |
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|
| 1944 |
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|
| 1945 |
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"grad_norm": 16.65748534309405,
|
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