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NicholasCorrado
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zephyr-7b-uf-rlced-conifer-group-dpo-2e-alr-0.1

Text Generation
Transformers
Safetensors
mistral
alignment-handbook
trl
dpo
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +100 -0
  2. all_results.json +9 -0
  3. generation_config.json +6 -0
  4. train_results.json +9 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: alignment-handbook/zephyr-7b-sft-full
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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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+ model-index:
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+ - name: zephyr-7b-uf-rlced-conifer-group-dpo-2e-alr-0.1
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+ results: []
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+ ---
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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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+
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+ # zephyr-7b-uf-rlced-conifer-group-dpo-2e-alr-0.1
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2391
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+ - Rewards/chosen: -3.1721
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+ - Rewards/rejected: -8.7679
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+ - Rewards/accuracies: 0.8788
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+ - Rewards/margins: 5.5958
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+ - Logps/rejected: -1280.5232
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+ - Logps/chosen: -709.6791
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+ - Logits/rejected: 2.9862
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+ - Logits/chosen: 0.4871
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+ - Excess Loss: 0.0302
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+ - Alpha 0 Uf: 0.2677
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+ - Alpha 1 Rlced Conifer: 0.7323
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+ - Rewards/chosen 1 Rlced Conifer: -3.3519
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+ - Rewards/rejected 1 Rlced Conifer: -10.1355
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+ - Rewards/accuracies 1 Rlced Conifer: 0.9088
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+ - Rewards/margins 1 Rlced Conifer: 6.7836
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+ - Logps/rejected 1 Rlced Conifer: -1461.0847
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+ - Logps/chosen 1 Rlced Conifer: -758.7692
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+ - Logits/rejected 1 Rlced Conifer: 2.9834
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+ - Logits/chosen 1 Rlced Conifer: 0.2872
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+ - Task Loss 1 Rlced Conifer: 0.1744
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+ - Task Excess Loss 1 Rlced Conifer: 0.0378
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+ - Rewards/chosen 0 Uf: -2.5137
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+ - Rewards/rejected 0 Uf: -3.9578
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+ - Rewards/accuracies 0 Uf: 0.7751
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+ - Rewards/margins 0 Uf: 1.4442
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+ - Logps/rejected 0 Uf: -637.3895
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+ - Logps/chosen 0 Uf: -540.6270
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+ - Logits/rejected 0 Uf: 3.2024
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+ - Logits/chosen 0 Uf: 1.0821
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+ - Task Loss 0 Uf: 0.5033
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+ - Task Excess Loss 0 Uf: 0.0690
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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+ - total_eval_batch_size: 64
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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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+
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+ ### Training results
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+
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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 | Excess Loss | Alpha 0 Uf | Alpha 1 Rlced Conifer | Rewards/chosen 1 Rlced Conifer | Rewards/rejected 1 Rlced Conifer | Rewards/accuracies 1 Rlced Conifer | Rewards/margins 1 Rlced Conifer | Logps/rejected 1 Rlced Conifer | Logps/chosen 1 Rlced Conifer | Logits/rejected 1 Rlced Conifer | Logits/chosen 1 Rlced Conifer | Task Loss 1 Rlced Conifer | Task Excess Loss 1 Rlced Conifer | Rewards/chosen 0 Uf | Rewards/rejected 0 Uf | Rewards/accuracies 0 Uf | Rewards/margins 0 Uf | Logps/rejected 0 Uf | Logps/chosen 0 Uf | Logits/rejected 0 Uf | Logits/chosen 0 Uf | Task Loss 0 Uf | Task Excess Loss 0 Uf |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:-----------:|:----------:|:---------------------:|:------------------------------:|:--------------------------------:|:----------------------------------:|:-------------------------------:|:------------------------------:|:----------------------------:|:-------------------------------:|:-----------------------------:|:-------------------------:|:--------------------------------:|:-------------------:|:---------------------:|:-----------------------:|:--------------------:|:-------------------:|:-----------------:|:--------------------:|:------------------:|:--------------:|:---------------------:|
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+ | 0.1882 | 0.4997 | 360 | 0.2996 | -1.6886 | -4.1417 | 0.8609 | 2.4532 | -817.9084 | -561.3260 | 1.4584 | 0.3084 | 0.0858 | 0.8164 | 0.1836 | -1.7447 | -4.6283 | 0.8926 | 2.8836 | -910.3677 | -598.0539 | 1.2471 | 0.1366 | 0.2441 | 0.1077 | -1.4688 | -2.4264 | 0.7375 | 0.9576 | -484.2446 | -436.1386 | 2.3554 | 0.8449 | 0.5159 | 0.0745 |
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+ | 0.1534 | 0.9993 | 720 | 0.2788 | -1.6895 | -4.6113 | 0.8656 | 2.9218 | -864.8680 | -561.4199 | 1.5835 | 0.1282 | 0.0703 | 0.8639 | 0.1361 | -1.7298 | -5.1653 | 0.8921 | 3.4355 | -964.0696 | -596.5645 | 1.3282 | -0.0899 | 0.2304 | 0.0945 | -1.5189 | -2.6316 | 0.7670 | 1.1128 | -504.7690 | -441.1461 | 2.6475 | 0.8112 | 0.4886 | 0.0496 |
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+ | 0.0947 | 1.4990 | 1080 | 0.2421 | -2.6372 | -7.6503 | 0.8797 | 5.0132 | -1168.7697 | -656.1883 | 2.9592 | 0.5518 | 0.0336 | 0.2372 | 0.7628 | -2.7432 | -8.7916 | 0.9108 | 6.0484 | -1326.6932 | -697.9009 | 2.9155 | 0.3378 | 0.1806 | 0.0448 | -2.2397 | -3.6057 | 0.7721 | 1.3660 | -602.1759 | -513.2244 | 3.3160 | 1.1969 | 0.4985 | 0.0623 |
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+ | 0.0894 | 1.9986 | 1440 | 0.2391 | -3.1721 | -8.7679 | 0.8788 | 5.5958 | -1280.5232 | -709.6791 | 2.9862 | 0.4871 | 0.0302 | 0.2677 | 0.7323 | -3.3519 | -10.1355 | 0.9088 | 6.7836 | -1461.0847 | -758.7692 | 2.9834 | 0.2872 | 0.1744 | 0.0378 | -2.5137 | -3.9578 | 0.7751 | 1.4442 | -637.3895 | -540.6270 | 3.2024 | 1.0821 | 0.5033 | 0.0690 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.2.0a0+81ea7a4
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
all_results.json ADDED
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+ {
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+ "epoch": 1.9986120749479528,
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+ "total_flos": 0.0,
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+ "train_loss": 0.1639749237232738,
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+ "train_runtime": 41844.7516,
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+ "train_samples": 184443,
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+ "train_samples_per_second": 8.816,
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+ "train_steps_per_second": 0.034
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "transformers_version": "4.44.2"
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+ }
train_results.json ADDED
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+ {
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+ "epoch": 1.9986120749479528,
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+ "total_flos": 0.0,
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+ "train_loss": 0.1639749237232738,
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+ "train_runtime": 41844.7516,
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+ "train_samples": 184443,
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+ "train_samples_per_second": 8.816,
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+ "train_steps_per_second": 0.034
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+ }