Model save
Browse files- README.md +76 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +9 -0
- trainer_state.json +751 -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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- 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-gpt_consistent-3
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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-gpt_consistent-3
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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: 0.4898
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- Rewards/chosen: -0.9477
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- Rewards/rejected: -1.9210
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- Rewards/accuracies: 0.7543
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- Rewards/margins: 0.9733
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- Logps/rejected: -438.6234
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- Logps/chosen: -379.8649
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- Logits/rejected: 2.2425
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- Logits/chosen: 0.9259
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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: 55
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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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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| 0.5718 | 0.2294 | 100 | 0.5525 | -0.3811 | -0.9418 | 0.6940 | 0.5607 | -340.7015 | -323.2031 | -1.1398 | -1.3666 |
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| 0.5281 | 0.4587 | 200 | 0.5102 | -0.6195 | -1.4237 | 0.7457 | 0.8042 | -388.8913 | -347.0378 | 1.0061 | -0.1205 |
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| 0.5213 | 0.6881 | 300 | 0.4939 | -0.9485 | -1.8771 | 0.7543 | 0.9286 | -434.2354 | -379.9385 | 1.7281 | 0.3985 |
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| 0.5037 | 0.9174 | 400 | 0.4898 | -0.9477 | -1.9210 | 0.7543 | 0.9733 | -438.6234 | -379.8649 | 2.2425 | 0.9259 |
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### Framework versions
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- Transformers 4.44.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.5438270043889317,
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"train_runtime": 11297.0501,
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"train_samples": 55758,
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"train_samples_per_second": 4.936,
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"train_steps_per_second": 0.039
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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": "4.44.0.dev0"
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}
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model-00001-of-00003.safetensors
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size 4943162336
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model-00002-of-00003.safetensors
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model-00003-of-00003.safetensors
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.5438270043889317,
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"train_runtime": 11297.0501,
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"train_samples": 55758,
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"train_samples_per_second": 4.936,
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"train_steps_per_second": 0.039
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}
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trainer_state.json
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