Model save
Browse files- README.md +80 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +977 -0
README.md
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---
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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-3-mini-4k-instruct
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model-index:
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- name: phi3-offline-dpo-lora-noise-0.0-5e-7-thre-1.5-42
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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/causal/huggingface/runs/3pqwimtf)
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# phi3-offline-dpo-lora-noise-0.0-5e-7-thre-1.5-42
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6131
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- Rewards/chosen: -0.4150
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- Rewards/rejected: -0.5892
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- Rewards/accuracies: 0.7540
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- Rewards/margins: 0.1743
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- Logps/rejected: -459.2376
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- Logps/chosen: -447.7001
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- Logits/rejected: 12.5314
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- Logits/chosen: 13.8427
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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-07
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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: 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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| 0.6885 | 0.1778 | 100 | 0.6884 | -0.0158 | -0.0244 | 0.6190 | 0.0086 | -402.7496 | -407.7805 | 12.8305 | 14.2621 |
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| 0.6712 | 0.3556 | 200 | 0.6680 | -0.0971 | -0.1464 | 0.7937 | 0.0493 | -414.9504 | -415.9148 | 12.6482 | 14.0845 |
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| 0.6339 | 0.5333 | 300 | 0.6389 | -0.2593 | -0.3712 | 0.7540 | 0.1119 | -437.4307 | -432.1300 | 12.8556 | 14.1744 |
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| 0.6203 | 0.7111 | 400 | 0.6203 | -0.3738 | -0.5313 | 0.7540 | 0.1575 | -453.4457 | -443.5887 | 12.6256 | 13.9444 |
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| 0.6102 | 0.8889 | 500 | 0.6131 | -0.4150 | -0.5892 | 0.7540 | 0.1743 | -459.2376 | -447.7001 | 12.5314 | 13.8427 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.42.3
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- Pytorch 2.3.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.19.1
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adapter_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 71320344
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:49e16b4d3c7e80563fafc534a0cf5709c0ad40d41cd3bb70e7f03e6fe8b09a76
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size 71320344
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all_results.json
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{
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"epoch": 0.9991111111111111,
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"total_flos": 0.0,
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"train_loss": 0.6475430355801701,
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"train_runtime": 7558.4306,
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"train_samples": 36000,
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"train_samples_per_second": 4.763,
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"train_steps_per_second": 0.074
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}
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train_results.json
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{
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"epoch": 0.9991111111111111,
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"total_flos": 0.0,
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"train_loss": 0.6475430355801701,
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"train_runtime": 7558.4306,
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"train_samples": 36000,
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"train_samples_per_second": 4.763,
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"train_steps_per_second": 0.074
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}
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trainer_state.json
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