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mistral-7b-dpo-all_pairs
yangzhao02/mistral-7b-dpo-all_pairs
mistral-7b-dpo-all_pairs is a machine learning model from yangzhao02. 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 18, 2024
- Updated
- Aug 19, 2024
- SHA
- b5c6dabc
Base models
Datasets
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. -->
mistral-7b-base-dpo-all_pairs-listsize_8-beta_0.05-batchsize_128
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the yangzhao02/ListUltraFeedback dataset. It achieves the following results on the evaluation set:
- Loss: 0.3529
- Logps: -322.9456
- Logits: -1.9966
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Logps | Logits |
|---|---|---|---|---|---|
| 0.3733 | 0.4275 | 200 | 0.3720 | -309.9268 | -2.2792 |
| 0.355 | 0.8549 | 400 | 0.3534 | -324.5089 | -1.9703 |
Framework versions
- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- mistral
- License
- apache-2.0
- Created
- Aug 18, 2024
- Updated
- Aug 19, 2024