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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: spin-v-diverse |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# spin-v-diverse |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0027 |
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- Rewards/real: -2.6757 |
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- Rewards/generated: -21.8763 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 19.2006 |
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- Logps/generated: -346.5988 |
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- Logps/real: -161.4224 |
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- Logits/generated: -2.5880 |
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- Logits/real: -2.4315 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real | |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:| |
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| 0.0257 | 0.06 | 100 | 0.0288 | 1.0058 | -5.7769 | 0.9928 | 6.7828 | -185.6055 | -124.6072 | -2.8843 | -2.6520 | |
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| 0.0096 | 0.13 | 200 | 0.0126 | -0.1554 | -12.6258 | 0.9984 | 12.4704 | -254.0941 | -136.2193 | -2.5945 | -2.2413 | |
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| 0.024 | 0.19 | 300 | 0.0126 | 0.1173 | -11.0946 | 0.9968 | 11.2119 | -238.7820 | -133.4925 | -2.7227 | -2.5040 | |
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| 0.0065 | 0.26 | 400 | 0.0082 | -0.1964 | -13.6305 | 0.9984 | 13.4341 | -264.1411 | -136.6298 | -2.7028 | -2.4738 | |
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| 0.0073 | 0.32 | 500 | 0.0081 | 0.0850 | -13.4368 | 0.9984 | 13.5218 | -262.2040 | -133.8156 | -2.6477 | -2.4285 | |
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| 0.0035 | 0.38 | 600 | 0.0071 | -2.8739 | -18.4641 | 1.0 | 15.5902 | -312.4772 | -163.4043 | -2.5956 | -2.3811 | |
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| 0.0097 | 0.45 | 700 | 0.0077 | -2.2908 | -16.9898 | 0.9984 | 14.6989 | -297.7338 | -157.5739 | -2.5210 | -2.2045 | |
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| 0.0052 | 0.51 | 800 | 0.0065 | -1.6983 | -19.8323 | 0.9992 | 18.1340 | -326.1593 | -151.6484 | -2.7183 | -2.5409 | |
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| 0.0037 | 0.58 | 900 | 0.0067 | -1.2826 | -16.6590 | 0.9984 | 15.3763 | -294.4258 | -147.4920 | -2.6881 | -2.5334 | |
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| 0.0023 | 0.64 | 1000 | 0.0047 | -1.9423 | -19.2263 | 1.0 | 17.2840 | -320.0990 | -154.0886 | -2.6404 | -2.4694 | |
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| 0.0041 | 0.7 | 1100 | 0.0050 | -2.4756 | -19.3047 | 1.0 | 16.8290 | -320.8827 | -159.4218 | -2.6368 | -2.4329 | |
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| 0.0033 | 0.77 | 1200 | 0.0037 | -2.8600 | -20.2625 | 1.0 | 17.4025 | -330.4614 | -163.2654 | -2.6240 | -2.4681 | |
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| 0.0042 | 0.83 | 1300 | 0.0032 | -2.6738 | -20.7669 | 1.0 | 18.0931 | -335.5057 | -161.4039 | -2.5974 | -2.4463 | |
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| 0.0031 | 0.9 | 1400 | 0.0030 | -2.1767 | -20.6456 | 0.9992 | 18.4690 | -334.2925 | -156.4323 | -2.6144 | -2.4595 | |
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| 0.0015 | 0.96 | 1500 | 0.0027 | -2.6757 | -21.8763 | 1.0 | 19.2006 | -346.5988 | -161.4224 | -2.5880 | -2.4315 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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