Model save
Browse files- README.md +83 -0
- adapter_model.safetensors +1 -1
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Mar04_17-16-13_gpu4-119-4/events.out.tfevents.1709533136.gpu4-119-4.2455345.0 +2 -2
- runs/Mar04_17-16-13_gpu4-119-4/events.out.tfevents.1709551592.gpu4-119-4.2455345.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1518 -0
README.md
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| 1 |
+
---
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license: mit
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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: microsoft/phi-2
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model-index:
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- name: phi-2-ipo-ultrafeedback-lora
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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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# phi-2-ipo-ultrafeedback-lora
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2156.2256
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- Rewards/chosen: -0.1105
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- Rewards/rejected: -0.1771
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- Rewards/accuracies: 0.6940
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- Rewards/margins: 0.0666
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- Logps/rejected: -249.1476
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- Logps/chosen: -271.2955
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- Logits/rejected: 0.7668
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- Logits/chosen: 0.6624
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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: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_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: 2
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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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| 2494.2439 | 0.21 | 100 | 2494.1194 | -0.0001 | -0.0010 | 0.5480 | 0.0009 | -231.5405 | -260.2577 | 0.9164 | 0.8142 |
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| 2425.7957 | 0.42 | 200 | 2420.3296 | -0.0052 | -0.0154 | 0.6560 | 0.0101 | -232.9728 | -260.7673 | 0.9218 | 0.8183 |
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| 2310.102 | 0.63 | 300 | 2309.9451 | -0.0300 | -0.0576 | 0.6680 | 0.0276 | -237.1959 | -263.2440 | 0.9088 | 0.8041 |
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| 2159.0707 | 0.84 | 400 | 2236.2759 | -0.0634 | -0.1085 | 0.6840 | 0.0451 | -242.2857 | -266.5839 | 0.8637 | 0.7578 |
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| 2176.8641 | 1.05 | 500 | 2197.5420 | -0.0903 | -0.1463 | 0.6980 | 0.0560 | -246.0634 | -269.2716 | 0.8180 | 0.7125 |
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| 2066.3285 | 1.26 | 600 | 2177.3389 | -0.1014 | -0.1628 | 0.6960 | 0.0614 | -247.7128 | -270.3855 | 0.7927 | 0.6879 |
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| 2119.5369 | 1.47 | 700 | 2166.3855 | -0.1054 | -0.1702 | 0.6960 | 0.0648 | -248.4533 | -270.7824 | 0.7771 | 0.6726 |
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| 2096.7854 | 1.67 | 800 | 2159.7104 | -0.1091 | -0.1756 | 0.6960 | 0.0665 | -248.9965 | -271.1501 | 0.7684 | 0.6641 |
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| 2094.5041 | 1.88 | 900 | 2158.6299 | -0.1103 | -0.1768 | 0.6980 | 0.0665 | -249.1140 | -271.2745 | 0.7690 | 0.6646 |
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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 2.1.2+cu118
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 41977616
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version https://git-lfs.github.com/spec/v1
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size 41977616
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all_results.json
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{
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"epoch": 2.0,
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"eval_logits/chosen": 0.6623885631561279,
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"eval_logits/rejected": 0.7668179869651794,
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"eval_logps/chosen": -271.2955017089844,
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"eval_logps/rejected": -249.1475830078125,
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"eval_loss": 2156.2255859375,
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"eval_rewards/accuracies": 0.6940000057220459,
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"eval_rewards/chosen": -0.11051338165998459,
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"eval_rewards/margins": 0.06660113483667374,
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"eval_rewards/rejected": -0.17711451649665833,
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"eval_runtime": 325.4702,
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| 13 |
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"eval_samples": 2000,
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| 14 |
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"eval_samples_per_second": 6.145,
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| 15 |
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"eval_steps_per_second": 0.384,
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| 16 |
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"train_loss": 2246.599348344143,
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| 17 |
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"train_runtime": 18130.6033,
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| 18 |
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"train_samples": 30567,
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| 19 |
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"train_samples_per_second": 3.372,
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"train_steps_per_second": 0.053
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_logits/chosen": 0.6623885631561279,
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"eval_logits/rejected": 0.7668179869651794,
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"eval_logps/chosen": -271.2955017089844,
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"eval_logps/rejected": -249.1475830078125,
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"eval_loss": 2156.2255859375,
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| 8 |
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"eval_rewards/accuracies": 0.6940000057220459,
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| 9 |
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"eval_rewards/chosen": -0.11051338165998459,
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| 10 |
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"eval_rewards/margins": 0.06660113483667374,
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| 11 |
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"eval_rewards/rejected": -0.17711451649665833,
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| 12 |
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"eval_runtime": 325.4702,
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| 13 |
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"eval_samples": 2000,
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| 14 |
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"eval_samples_per_second": 6.145,
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| 15 |
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"eval_steps_per_second": 0.384
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}
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runs/Mar04_17-16-13_gpu4-119-4/events.out.tfevents.1709533136.gpu4-119-4.2455345.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:8d578ba49f82a9a74c3ecb2c570c53bda71d61dfc2f2e569b6e9b527ebba9405
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size 72564
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runs/Mar04_17-16-13_gpu4-119-4/events.out.tfevents.1709551592.gpu4-119-4.2455345.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f74a1e91a3f246c1bbd25dbbddcdae32374db31ca667b89032988cdb626434bd
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| 3 |
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size 828
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train_results.json
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{
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"epoch": 2.0,
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"train_loss": 2246.599348344143,
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| 4 |
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"train_runtime": 18130.6033,
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| 5 |
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"train_samples": 30567,
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| 6 |
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"train_samples_per_second": 3.372,
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| 7 |
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"train_steps_per_second": 0.053
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}
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trainer_state.json
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