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zephyr-7b-dpo-full-prometheus_consistent-low-curriculum
sfulay/zephyr-7b-dpo-full-prometheus_consistent-low-curriculum
zephyr-7b-dpo-full-prometheus_consistent-low-curriculum is a machine learning model from sfulay. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Aug 27, 2024
- Updated
- Aug 28, 2024
- SHA
- a15b9049
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
zephyr-7b-dpo-full-prometheus_consistent-low-curriculum
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5227
- Rewards/chosen: -0.6988
- Rewards/rejected: -1.6296
- Rewards/accuracies: 0.7629
- Rewards/margins: 0.9308
- Logps/rejected: -382.0352
- Logps/chosen: -345.4830
- Logits/rejected: 0.7649
- Logits/chosen: -0.3664
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6619 | 0.1143 | 50 | 0.6465 | -0.0188 | -0.1651 | 0.6940 | 0.1464 | -235.5894 | -277.4793 | -2.4695 | -2.5696 |
| 0.5843 | 0.2286 | 100 | 0.5720 | -0.4443 | -1.0204 | 0.7457 | 0.5761 | -321.1169 | -320.0323 | -1.1914 | -1.3850 |
| 0.5509 | 0.3429 | 150 | 0.5467 | -0.4786 | -1.2647 | 0.7328 | 0.7861 | -345.5482 | -323.4684 | -0.6635 | -1.3552 |
| 0.5275 | 0.4571 | 200 | 0.5396 | -0.5220 | -1.3807 | 0.7716 | 0.8587 | -357.1487 | -327.8021 | -0.0895 | -1.0377 |
| 0.5665 | 0.5714 | 250 | 0.5405 | -1.0842 | -1.9608 | 0.7629 | 0.8766 | -415.1577 | -384.0230 | 1.5254 | 0.2878 |
| 0.5202 | 0.6857 | 300 | 0.5275 | -0.7424 | -1.7347 | 0.7716 | 0.9923 | -392.5496 | -349.8434 | 0.9934 | -0.2192 |
| 0.5261 | 0.8 | 350 | 0.5234 | -0.7613 | -1.7196 | 0.7586 | 0.9584 | -391.0397 | -351.7310 | 0.9008 | -0.2697 |
| 0.5343 | 0.9143 | 400 | 0.5227 | -0.6988 | -1.6296 | 0.7629 | 0.9308 | -382.0352 | -345.4830 | 0.7649 | -0.3664 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- mistral
- License
- apache-2.0
- Created
- Aug 27, 2024
- Updated
- Aug 28, 2024