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--- |
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library_name: transformers |
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base_model: /scratch/gpfs/jg9904/saved_models/Mistral-7B-Instruct-v0.3 |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- /scratch/gpfs/jg9904/unintentional-unalignment/data_files/data-mistral-7b-instruct-sppo-iter1/50_new |
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model-index: |
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- name: mistral-dpo-lr-5.0e-7-beta-0.01 |
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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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# mistral-dpo-lr-5.0e-7-beta-0.01 |
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This model is a fine-tuned version of [/scratch/gpfs/jg9904/saved_models/Mistral-7B-Instruct-v0.3](https://huggingface.co//scratch/gpfs/jg9904/saved_models/Mistral-7B-Instruct-v0.3) on the /scratch/gpfs/jg9904/unintentional-unalignment/data_files/data-mistral-7b-instruct-sppo-iter1/50_new dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4740 |
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- Rewards/chosen: -0.4546 |
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- Rewards/rejected: -1.1932 |
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- Rewards/accuracies: 0.8036 |
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- Rewards/margins: 0.7386 |
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- Logps/rejected: -459.2464 |
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- Logps/chosen: -346.3625 |
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- Logits/rejected All: -2.7774 |
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- Logits/chosen All: -2.7702 |
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- Logits/rejected Sum: 8023.3535 |
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- Logits/chosen Sum: 8554.5498 |
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- Logits/rejected Avg: 21.6078 |
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- Logits/chosen Avg: 21.0986 |
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- Gradient/inner Product: 463470592.0 |
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- Gradient/nabla Chosen Logps: 28288.0 |
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- Gradient/nabla Rejected Logps: 37632.0 |
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- Gradient/correlation: 0.4004 |
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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: 8 |
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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: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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 All | Logits/chosen All | Logits/rejected Sum | Logits/chosen Sum | Logits/rejected Avg | Logits/chosen Avg | Gradient/inner Product | Gradient/nabla Chosen Logps | Gradient/nabla Rejected Logps | Gradient/correlation | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:-------------------:|:-----------------:|:-------------------:|:-----------------:|:-------------------:|:-----------------:|:----------------------:|:---------------------------:|:-----------------------------:|:--------------------:| |
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| No log | 0 | 0 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | -339.9275 | -300.9012 | -2.8672 | -2.8605 | 7351.9551 | 7878.5537 | 19.8359 | 19.5574 | 86507520.0 | 16384.0 | 17152.0 | 0.2451 | |
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| 0.667 | 0.6803 | 100 | 0.4740 | -0.4546 | -1.1932 | 0.8036 | 0.7386 | -459.2464 | -346.3625 | -2.7774 | -2.7702 | 8023.3535 | 8554.5498 | 21.6078 | 21.0986 | 463470592.0 | 28288.0 | 37632.0 | 0.4004 | |
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### Framework versions |
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- Transformers 4.45.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 2.14.6 |
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- Tokenizers 0.20.4 |
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