Model save
Browse files- README.md +24 -17
- all_results.json +17 -17
- eval_results.json +13 -13
- generation_config.json +3 -6
- 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 +292 -292
- runs/Aug06_12-34-04_n122-220-008/events.out.tfevents.1722929614.n122-220-008.93384.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +0 -0
README.md
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---
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license:
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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# zephyr-7b-dpo-full
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This model is a fine-tuned version of [
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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: 0.
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- Rewards/rejected: -
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- Rewards/accuracies: 0.7579
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- Rewards/margins:
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -
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- Logits/chosen: -
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- Use Label:
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- Pred Label:
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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: 8
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-
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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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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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### Framework versions
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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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# 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: 0.5274
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- Rewards/chosen: -0.0838
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- Rewards/rejected: -1.1574
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- Rewards/accuracies: 0.7579
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- Rewards/margins: 1.0735
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- Logps/rejected: -273.2137
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- Logps/chosen: -289.3620
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- Logits/rejected: -2.7815
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- Logits/chosen: -2.7866
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- Use Label: 0.0
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- Pred Label: 0.0
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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: 8
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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: 8
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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: linear
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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 | Use Label | Pred Label |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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| 0.6368 | 0.1 | 100 | 0.6040 | 0.1800 | -0.4000 | 0.6746 | 0.5800 | -265.6400 | -286.7236 | -2.8083 | -2.8249 | 0.0 | 0.0 |
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| 0.558 | 0.21 | 200 | 0.5652 | 0.1323 | -0.7862 | 0.7421 | 0.9186 | -269.5020 | -287.2001 | -2.7981 | -2.8081 | 0.0 | 0.0 |
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| 0.553 | 0.31 | 300 | 0.5432 | -0.0674 | -1.0423 | 0.7341 | 0.9749 | -272.0630 | -289.1978 | -2.7421 | -2.7517 | 0.0 | 0.0 |
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| 0.5019 | 0.42 | 400 | 0.5371 | 0.1229 | -0.9260 | 0.7540 | 1.0490 | -270.9003 | -287.2944 | -2.7871 | -2.7961 | 0.0 | 0.0 |
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| 0.5303 | 0.52 | 500 | 0.5362 | 0.0755 | -0.9534 | 0.7381 | 1.0290 | -271.1743 | -287.7682 | -2.7415 | -2.7495 | 0.0 | 0.0 |
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| 0.5791 | 0.63 | 600 | 0.5281 | 0.0277 | -1.0275 | 0.7460 | 1.0552 | -271.9149 | -288.2469 | -2.7518 | -2.7595 | 0.0 | 0.0 |
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| 0.5238 | 0.73 | 700 | 0.5295 | 0.0341 | -1.0667 | 0.7540 | 1.1008 | -272.3072 | -288.1828 | -2.7262 | -2.7338 | 0.0 | 0.0 |
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| 0.515 | 0.84 | 800 | 0.5258 | -0.0054 | -1.1189 | 0.7540 | 1.1135 | -272.8286 | -288.5772 | -2.7479 | -2.7544 | 0.0 | 0.0 |
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| 0.5166 | 0.94 | 900 | 0.5273 | -0.0792 | -1.1432 | 0.7619 | 1.0640 | -273.0717 | -289.3157 | -2.7775 | -2.7829 | 0.0 | 0.0 |
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### Framework versions
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all_results.json
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eval_results.json
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generation_config.json
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