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zephyr-7b-dpo-full-prometheus_consistent-high-curriculum
sfulay/zephyr-7b-dpo-full-prometheus_consistent-high-curriculum
zephyr-7b-dpo-full-prometheus_consistent-high-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
- 3c59417b
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-high-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: 0.5203
- Rewards/chosen: -0.8639
- Rewards/rejected: -1.8895
- Rewards/accuracies: 0.7672
- Rewards/margins: 1.0256
- Logps/rejected: -408.0299
- Logps/chosen: -361.9968
- Logits/rejected: 0.2281
- Logits/chosen: -0.7985
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6603 | 0.1143 | 50 | 0.6510 | -0.0704 | -0.2218 | 0.7069 | 0.1514 | -241.2574 | -282.6420 | -2.3962 | -2.4982 |
| 0.6072 | 0.2286 | 100 | 0.5890 | -0.1773 | -0.6076 | 0.7457 | 0.4303 | -279.8370 | -293.3325 | -2.2765 | -2.4106 |
| 0.5601 | 0.3429 | 150 | 0.5646 | -0.8683 | -1.7726 | 0.7414 | 0.9043 | -396.3318 | -362.4335 | -0.2023 | -1.0345 |
| 0.5553 | 0.4571 | 200 | 0.5395 | -1.0446 | -1.9038 | 0.7414 | 0.8592 | -409.4591 | -380.0676 | 0.1453 | -0.7609 |
| 0.5165 | 0.5714 | 250 | 0.5305 | -0.7966 | -1.8137 | 0.7543 | 1.0172 | -400.4511 | -355.2614 | 0.3109 | -0.7944 |
| 0.5262 | 0.6857 | 300 | 0.5260 | -0.9894 | -1.9874 | 0.7586 | 0.9981 | -417.8188 | -374.5410 | 0.7809 | -0.4146 |
| 0.5269 | 0.8 | 350 | 0.5224 | -0.9044 | -1.9323 | 0.7716 | 1.0279 | -412.3088 | -366.0488 | 0.4302 | -0.6784 |
| 0.5243 | 0.9143 | 400 | 0.5203 | -0.8639 | -1.8895 | 0.7672 | 1.0256 | -408.0299 | -361.9968 | 0.2281 | -0.7985 |
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