Model save
Browse files- README.md +79 -0
- all_results.json +9 -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/May13_03-18-43_ubuntu/events.out.tfevents.1715570910.ubuntu.179147.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +1614 -0
README.md
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---
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: zephyr-7b-dpo-full
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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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# zephyr-7b-dpo-full
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5090
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- Rewards/chosen: -1.1007
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- Rewards/rejected: -2.0002
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- Rewards/accuracies: 0.7738
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- Rewards/margins: 0.8995
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- Logps/rejected: -466.1724
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- Logps/chosen: -401.8018
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- Logits/rejected: 3.6229
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- Logits/chosen: 2.8669
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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: cosine
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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/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.6512 | 0.1047 | 100 | 0.6511 | -0.0190 | -0.1266 | 0.6964 | 0.1076 | -278.8090 | -293.6257 | -2.3851 | -2.4490 |
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| 0.5992 | 0.2093 | 200 | 0.5944 | -0.2668 | -0.6535 | 0.7103 | 0.3866 | -331.5005 | -318.4129 | -1.7454 | -1.8605 |
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| 0.5469 | 0.3140 | 300 | 0.5530 | -0.6557 | -1.3199 | 0.7520 | 0.6642 | -398.1460 | -357.2993 | -0.7401 | -0.9693 |
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| 0.5491 | 0.4186 | 400 | 0.5448 | -1.0399 | -1.6860 | 0.7282 | 0.6462 | -434.7570 | -395.7156 | 1.3254 | 0.9052 |
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| 0.5351 | 0.5233 | 500 | 0.5296 | -0.8199 | -1.6144 | 0.7679 | 0.7945 | -427.5919 | -373.7142 | 2.7946 | 2.2107 |
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| 0.4879 | 0.6279 | 600 | 0.5152 | -1.1813 | -2.0574 | 0.7619 | 0.8761 | -471.8891 | -409.8589 | 3.3049 | 2.6265 |
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| 0.4963 | 0.7326 | 700 | 0.5121 | -1.1447 | -2.0602 | 0.7679 | 0.9156 | -472.1772 | -406.1937 | 3.7355 | 2.9642 |
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| 0.5009 | 0.8373 | 800 | 0.5099 | -1.1326 | -2.0244 | 0.7679 | 0.8919 | -468.5970 | -404.9855 | 3.6202 | 2.8807 |
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| 0.4926 | 0.9419 | 900 | 0.5090 | -1.1007 | -2.0002 | 0.7738 | 0.8995 | -466.1724 | -401.8018 | 3.6229 | 2.8669 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.1.2
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9994767137624281,
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"total_flos": 0.0,
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"train_loss": 0.5469793729133007,
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"train_runtime": 17738.8932,
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"train_samples": 61134,
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"train_samples_per_second": 3.446,
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"train_steps_per_second": 0.054
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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": "4.40.2"
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}
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f344a6895cd48cefdd8b6b436c50090b9003c765f6ed8cf5fa615dea27ded625
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size 4943162336
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model-00002-of-00003.safetensors
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size 4999819336
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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