Model save
Browse files- README.md +73 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Jan15_16-46-47_hrsung-a100-b/events.out.tfevents.1705337312.hrsung-a100-b.4361.0 +2 -2
- runs/Jan15_16-46-47_hrsung-a100-b/events.out.tfevents.1705397961.hrsung-a100-b.4361.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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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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base_model: alignment-handbook/zephyr-7b-sft-full
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model-index:
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- name: zephyr-7b-dpo-lora-ultrafeedback
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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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# zephyr-7b-dpo-lora-ultrafeedback
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5939
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- Rewards/chosen: -0.2154
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- Rewards/rejected: -0.5247
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- Rewards/accuracies: 0.6920
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- Rewards/margins: 0.3093
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- Logps/rejected: -320.4754
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- Logps/chosen: -313.5164
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- Logits/rejected: -2.1488
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- Logits/chosen: -2.2262
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.5796 | 0.92 | 7000 | 0.5940 | -0.2151 | -0.5243 | 0.6940 | 0.3091 | -320.4359 | -313.4948 | -2.1487 | -2.2261 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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adapter_model.safetensors
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all_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -2.226208448410034,
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"eval_logits/rejected": -2.1488096714019775,
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"eval_logps/chosen": -313.5163879394531,
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"eval_logps/rejected": -320.47540283203125,
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"eval_loss": 0.5939346551895142,
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"eval_rewards/accuracies": 0.6919999718666077,
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"eval_rewards/chosen": -0.21535076200962067,
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"eval_rewards/margins": 0.30932918190956116,
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"eval_rewards/rejected": -0.524679958820343,
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"eval_runtime": 1172.6262,
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"eval_samples": 2000,
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"eval_samples_per_second": 1.706,
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"eval_steps_per_second": 0.213,
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"train_loss": 0.6084560017191406,
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"train_runtime": 59476.7244,
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"train_samples": 61135,
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"train_samples_per_second": 1.028,
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"train_steps_per_second": 0.128
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -2.226208448410034,
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"eval_logits/rejected": -2.1488096714019775,
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"eval_logps/chosen": -313.5163879394531,
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"eval_logps/rejected": -320.47540283203125,
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"eval_loss": 0.5939346551895142,
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"eval_rewards/accuracies": 0.6919999718666077,
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"eval_rewards/chosen": -0.21535076200962067,
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"eval_rewards/margins": 0.30932918190956116,
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"eval_rewards/rejected": -0.524679958820343,
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"eval_runtime": 1172.6262,
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"eval_samples": 2000,
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"eval_samples_per_second": 1.706,
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"eval_steps_per_second": 0.213
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}
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runs/Jan15_16-46-47_hrsung-a100-b/events.out.tfevents.1705337312.hrsung-a100-b.4361.0
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runs/Jan15_16-46-47_hrsung-a100-b/events.out.tfevents.1705397961.hrsung-a100-b.4361.1
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.6084560017191406,
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"train_runtime": 59476.7244,
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"train_samples": 61135,
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"train_samples_per_second": 1.028,
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"train_steps_per_second": 0.128
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}
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trainer_state.json
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