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dpo_t5
zera09/dpo_t5
dpo_t5 is a machine learning model from zera09. 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
- longt5
- Access
- Public
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- 6253c5b2
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. -->
dpo_t5
This model is a fine-tuned version of zera09/long_t5_4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1323
- Rewards/chosen: -2.0711
- Rewards/rejected: -8.9414
- Rewards/accuracies: 0.8944
- Rewards/margins: 6.8703
- Logps/rejected: -20.2375
- Logps/chosen: -30.8509
- Logits/rejected: -17.6818
- Logits/chosen: -17.7684
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.2665 | 0.625 | 500 | 0.1528 | -0.7661 | -5.9810 | 0.8906 | 5.2149 | -15.3035 | -28.6760 | -18.1636 | -18.1581 |
| 0.1513 | 1.25 | 1000 | 0.1361 | -1.7646 | -8.3032 | 0.8963 | 6.5386 | -19.1739 | -30.3402 | -17.7553 | -17.8268 |
| 0.1242 | 1.875 | 1500 | 0.1325 | -2.0594 | -8.8889 | 0.8950 | 6.8295 | -20.1501 | -30.8315 | -17.6642 | -17.7493 |
| 0.1112 | 2.5 | 2000 | 0.1323 | -2.0711 | -8.9414 | 0.8944 | 6.8703 | -20.2375 | -30.8509 | -17.6818 | -17.7684 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- longt5
- License
- apache-2.0
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024