Model save
Browse files- README.md +16 -32
- all_results.json +5 -5
- generation_config.json +2 -5
- train_results.json +5 -5
- trainer_state.json +0 -0
README.md
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---
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library_name: transformers
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tags:
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- trl
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- dpo
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@@ -14,17 +16,17 @@ should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b-dpo-full
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -
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- Rewards/rejected: -
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- Rewards/accuracies: 0.
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- Rewards/margins:
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- Logps/rejected: -2.
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- Logps/chosen: -1.
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- Logits/rejected: -
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- Logits/chosen: -
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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:
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- eval_batch_size: 4
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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: 16
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- total_train_batch_size:
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- total_eval_batch_size: 16
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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:
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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.
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| 0.8661 | 0.2094 | 200 | 0.8801 | -0.0678 | -0.1219 | 0.6920 | 0.0542 | -1.3279 | -1.0381 | -0.6586 | -0.7288 |
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| 0.8166 | 0.3141 | 300 | 0.8344 | -0.1473 | -0.2371 | 0.7020 | 0.0898 | -1.5583 | -1.1971 | -0.8560 | -0.9338 |
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| 0.7377 | 0.4187 | 400 | 0.8165 | -0.1814 | -0.2803 | 0.7020 | 0.0989 | -1.6447 | -1.2653 | -0.8999 | -0.9866 |
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| 0.7878 | 0.5234 | 500 | 0.8025 | -0.2222 | -0.3318 | 0.7140 | 0.1096 | -1.7477 | -1.3469 | -0.9167 | -1.0040 |
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| 0.7098 | 0.6281 | 600 | 0.7852 | -0.2537 | -0.3788 | 0.7220 | 0.1251 | -1.8417 | -1.4100 | -0.9250 | -1.0109 |
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| 0.7637 | 0.7328 | 700 | 0.7751 | -0.2541 | -0.3682 | 0.7240 | 0.1141 | -1.8204 | -1.4107 | -0.9256 | -1.0116 |
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| 0.726 | 0.8375 | 800 | 0.7703 | -0.2974 | -0.4243 | 0.7340 | 0.1269 | -1.9327 | -1.4974 | -0.9103 | -0.9965 |
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| 0.7171 | 0.9422 | 900 | 0.7577 | -0.3100 | -0.4453 | 0.7440 | 0.1353 | -1.9746 | -1.5225 | -0.9430 | -1.0241 |
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| 0.6193 | 1.0468 | 1000 | 0.7531 | -0.3079 | -0.4465 | 0.7360 | 0.1386 | -1.9771 | -1.5183 | -0.9013 | -0.9842 |
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| 0.6201 | 1.1515 | 1100 | 0.7530 | -0.3522 | -0.5042 | 0.7460 | 0.1520 | -2.0924 | -1.6069 | -0.8843 | -0.9681 |
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| 0.6105 | 1.2562 | 1200 | 0.7508 | -0.3409 | -0.4807 | 0.7380 | 0.1398 | -2.0455 | -1.5843 | -0.8828 | -0.9657 |
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| 0.6529 | 1.3609 | 1300 | 0.7522 | -0.3580 | -0.4995 | 0.7180 | 0.1415 | -2.0830 | -1.6185 | -0.8704 | -0.9551 |
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| 0.5827 | 1.4656 | 1400 | 0.7494 | -0.3532 | -0.4944 | 0.7280 | 0.1412 | -2.0729 | -1.6089 | -0.8884 | -0.9717 |
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| 0.5978 | 1.5703 | 1500 | 0.7502 | -0.3686 | -0.5144 | 0.7280 | 0.1459 | -2.1129 | -1.6396 | -0.8574 | -0.9408 |
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| 0.6115 | 1.6750 | 1600 | 0.7480 | -0.3421 | -0.4823 | 0.7300 | 0.1402 | -2.0487 | -1.5868 | -0.8814 | -0.9648 |
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| 0.6209 | 1.7796 | 1700 | 0.7480 | -0.3516 | -0.4943 | 0.7360 | 0.1427 | -2.0728 | -1.6058 | -0.8739 | -0.9575 |
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| 0.5811 | 1.8843 | 1800 | 0.7491 | -0.3581 | -0.5018 | 0.7360 | 0.1437 | -2.0877 | -1.6187 | -0.8990 | -0.9798 |
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| 0.6246 | 1.9890 | 1900 | 0.7492 | -0.3582 | -0.5015 | 0.7340 | 0.1433 | -2.0872 | -1.6189 | -0.9145 | -0.9939 |
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### Framework versions
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---
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library_name: transformers
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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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# zephyr-7b-dpo-full
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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: 0.6994
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- Rewards/chosen: -3.8492
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- Rewards/rejected: -5.0898
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- Rewards/accuracies: 0.7380
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- Rewards/margins: 1.2406
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- Logps/rejected: -2.5449
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- Logps/chosen: -1.9246
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- Logits/rejected: -2.1732
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- Logits/chosen: -2.1686
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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: 2
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- eval_batch_size: 4
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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: 16
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- total_train_batch_size: 128
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- total_eval_batch_size: 16
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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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| 0.7536 | 0.8375 | 400 | 0.6994 | -3.8492 | -5.0898 | 0.7380 | 1.2406 | -2.5449 | -1.9246 | -2.1732 | -2.1686 |
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### Framework versions
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all_results.json
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{
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"epoch":
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"total_flos": 0.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 61135,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 0.998691442030882,
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"total_flos": 0.0,
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"train_loss": 0.7891295181130463,
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"train_runtime": 22160.7549,
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"train_samples": 61135,
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"train_samples_per_second": 2.759,
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"train_steps_per_second": 0.022
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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":
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.45.2"
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}
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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": "4.45.2"
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}
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train_results.json
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{
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"epoch":
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"total_flos": 0.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 61135,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 0.998691442030882,
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"total_flos": 0.0,
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"train_loss": 0.7891295181130463,
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"train_runtime": 22160.7549,
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"train_samples": 61135,
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"train_samples_per_second": 2.759,
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"train_steps_per_second": 0.022
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}
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trainer_state.json
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