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wzhouad
/
zephyr-7b-dpo-full

Text Generation
Transformers
Safetensors
llama
trl
dpo
Generated from Trainer
conversational
Inference Endpoints
text-generation-inference
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Files changed (15) hide show
  1. README.md +20 -6
  2. all_results.json +5 -5
  3. config.json +12 -9
  4. generation_config.json +5 -2
  5. model-00001-of-00004.safetensors +1 -1
  6. model-00002-of-00004.safetensors +1 -1
  7. model-00003-of-00004.safetensors +1 -1
  8. model-00004-of-00004.safetensors +1 -1
  9. model.safetensors.index.json +292 -292
  10. special_tokens_map.json +3 -21
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +2039 -22
  13. train_results.json +5 -5
  14. trainer_state.json +586 -1096
  15. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,4 @@
1
  ---
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- license: mit
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- base_model: HuggingFaceH4/mistral-7b-sft-beta
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  tags:
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  - trl
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  - dpo
@@ -15,7 +13,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-dpo-full
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- This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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@@ -35,12 +43,12 @@ More information needed
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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: 5
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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
@@ -50,6 +58,12 @@ The following hyperparameters were used during training:
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  ### Training results
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - trl
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  - dpo
 
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  # zephyr-7b-dpo-full
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0417
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+ - Rewards/chosen: -0.7466
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+ - Rewards/rejected: -1.3804
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+ - Rewards/accuracies: 0.7422
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+ - Rewards/margins: 0.6338
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+ - Logps/rejected: -527.3099
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+ - Logps/chosen: -457.7850
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+ - Logits/rejected: 2.1592
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+ - Logits/chosen: 2.0046
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  ## Model description
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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: 4
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  - eval_batch_size: 8
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+ - seed: 4
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  - distributed_type: multi-GPU
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  - num_devices: 8
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+ - gradient_accumulation_steps: 4
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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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  ### 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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+ | 0.0826 | 0.21 | 100 | 0.0832 | -0.0301 | -0.2197 | 0.6992 | 0.1896 | -411.2444 | -386.1432 | 0.4863 | 0.4488 |
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+ | 0.0493 | 0.42 | 200 | 0.0539 | -0.4089 | -0.9067 | 0.7344 | 0.4978 | -479.9441 | -424.0201 | 1.5782 | 1.4602 |
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+ | 0.0433 | 0.63 | 300 | 0.0463 | -0.5947 | -1.1931 | 0.7344 | 0.5983 | -508.5793 | -442.6008 | 1.8666 | 1.7326 |
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+ | 0.0369 | 0.84 | 400 | 0.0417 | -0.7466 | -1.3804 | 0.7422 | 0.6338 | -527.3099 | -457.7850 | 2.1592 | 2.0046 |
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  ### Framework versions
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