AmberYifan
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Commit
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Parent(s):
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Model save
Browse files- README.md +78 -0
- all_results.json +8 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- runs/Jun17_13-06-20_gilbreth-j001.rcac.purdue.edu/events.out.tfevents.1718644164.gilbreth-j001.rcac.purdue.edu.53336.0 +2 -2
- train_results.json +8 -0
- trainer_state.json +1532 -0
README.md
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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-trans
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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-trans
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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: -3.8149
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- Rewards/generated: -24.3554
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- Rewards/accuracies: 1.0
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- Rewards/margins: 20.5405
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- Logps/generated: -336.8123
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- Logps/real: -163.0993
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- Logits/generated: -2.3894
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- Logits/real: -1.8917
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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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| 0.0085 | 0.1 | 100 | 0.0130 | 0.5228 | -9.3297 | 1.0 | 9.8526 | -186.5559 | -119.7219 | -2.7911 | -2.5502 |
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| 0.0041 | 0.21 | 200 | 0.0070 | -0.1706 | -14.7969 | 1.0 | 14.6263 | -241.2277 | -126.6563 | -2.6228 | -2.2904 |
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| 0.0007 | 0.31 | 300 | 0.0073 | -2.7706 | -22.3901 | 0.9974 | 19.6195 | -317.1598 | -152.6565 | -2.4825 | -1.9073 |
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| 0.0049 | 0.41 | 400 | 0.0044 | -2.9093 | -19.4947 | 1.0 | 16.5854 | -288.2053 | -154.0429 | -2.6010 | -2.2355 |
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| 0.001 | 0.52 | 500 | 0.0050 | -1.5600 | -21.7213 | 1.0 | 20.1614 | -310.4720 | -140.5501 | -2.5715 | -2.2758 |
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| 0.0004 | 0.62 | 600 | 0.0029 | -2.4635 | -24.2161 | 1.0 | 21.7526 | -335.4198 | -149.5852 | -2.4626 | -2.0545 |
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| 0.0004 | 0.72 | 700 | 0.0034 | -1.9810 | -20.7429 | 1.0 | 18.7619 | -300.6877 | -144.7602 | -2.4823 | -2.0980 |
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| 0.0003 | 0.83 | 800 | 0.0034 | -4.2857 | -23.6128 | 1.0 | 19.3270 | -329.3861 | -167.8074 | -2.3861 | -1.8496 |
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| 0.0003 | 0.93 | 900 | 0.0027 | -3.8149 | -24.3554 | 1.0 | 20.5405 | -336.8123 | -163.0993 | -2.3894 | -1.8917 |
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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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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.014407816406519693,
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"train_runtime": 6867.7564,
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"train_samples": 30895,
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"train_samples_per_second": 4.499,
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"train_steps_per_second": 0.141
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.37.0"
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}
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model-00001-of-00003.safetensors
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oid sha256:11a5f6f56b60acabc84aad65d1d68ee4ad38ffd1ce33162e20489886ad32d790
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size 4943162336
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model-00002-of-00003.safetensors
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model.safetensors.index.json
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