zephyr-7b-align-scan-0.0-0.9-polynomial-3
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.9815
- Rewards/chosen: 0.2790
- Rewards/rejected: -1.2918
- Rewards/accuracies: 0.3452
- Rewards/margins: 1.5708
- Logps/rejected: -82.5074
- Logps/chosen: -74.1934
- Logits/rejected: -2.5411
- Logits/chosen: -2.5570
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: 4.135505422578228e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5697 | 1.0417 | 100 | 0.7314 | 0.9086 | 0.2746 | 0.3433 | 0.6340 | -80.8352 | -73.5212 | -2.5080 | -2.5235 |
| 0.3568 | 2.0833 | 200 | 0.9404 | 1.5621 | 0.3036 | 0.3294 | 1.2585 | -80.8042 | -72.8236 | -2.5182 | -2.5344 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for taicheng/zephyr-7b-align-scan-0.0-0.9-polynomial-3
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full