metadata
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- generated_from_trainer
model-index:
- name: spin-trans
results: []
spin-trans
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: 0.0027
- Rewards/real: -3.8149
- Rewards/generated: -24.3554
- Rewards/accuracies: 1.0
- Rewards/margins: 20.5405
- Logps/generated: -336.8123
- Logps/real: -163.0993
- Logits/generated: -2.3894
- Logits/real: -1.8917
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: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0085 | 0.1 | 100 | 0.0130 | 0.5228 | -9.3297 | 1.0 | 9.8526 | -186.5559 | -119.7219 | -2.7911 | -2.5502 |
| 0.0041 | 0.21 | 200 | 0.0070 | -0.1706 | -14.7969 | 1.0 | 14.6263 | -241.2277 | -126.6563 | -2.6228 | -2.2904 |
| 0.0007 | 0.31 | 300 | 0.0073 | -2.7706 | -22.3901 | 0.9974 | 19.6195 | -317.1598 | -152.6565 | -2.4825 | -1.9073 |
| 0.0049 | 0.41 | 400 | 0.0044 | -2.9093 | -19.4947 | 1.0 | 16.5854 | -288.2053 | -154.0429 | -2.6010 | -2.2355 |
| 0.001 | 0.52 | 500 | 0.0050 | -1.5600 | -21.7213 | 1.0 | 20.1614 | -310.4720 | -140.5501 | -2.5715 | -2.2758 |
| 0.0004 | 0.62 | 600 | 0.0029 | -2.4635 | -24.2161 | 1.0 | 21.7526 | -335.4198 | -149.5852 | -2.4626 | -2.0545 |
| 0.0004 | 0.72 | 700 | 0.0034 | -1.9810 | -20.7429 | 1.0 | 18.7619 | -300.6877 | -144.7602 | -2.4823 | -2.0980 |
| 0.0003 | 0.83 | 800 | 0.0034 | -4.2857 | -23.6128 | 1.0 | 19.3270 | -329.3861 | -167.8074 | -2.3861 | -1.8496 |
| 0.0003 | 0.93 | 900 | 0.0027 | -3.8149 | -24.3554 | 1.0 | 20.5405 | -336.8123 | -163.0993 | -2.3894 | -1.8917 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2