Model save
Browse files- README.md +14 -14
- all_results.json +18 -18
- eval_results.json +14 -14
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +0 -0
- training_args.bin +1 -1
README.md
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@@ -15,17 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
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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:
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- Rewards/chosen: -0.
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- Rewards/rejected: -0.
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- Rewards/accuracies: 0.
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- Rewards/margins: -0.
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- Rewards/safe Rewards: -0.
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- Rewards/unsafe Rewards: -0.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -1.
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- Logits/chosen: -1.
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## Model description
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@@ -62,9 +62,9 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/safe Rewards | Rewards/unsafe Rewards | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------------:|:----------------------:|:--------------:|:------------:|:---------------:|:-------------:|
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### Framework versions
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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: 32.5885
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- Rewards/chosen: -0.1837
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- Rewards/rejected: -0.1337
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- Rewards/accuracies: 0.4256
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- Rewards/margins: -0.0500
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- Rewards/safe Rewards: -0.1819
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- Rewards/unsafe Rewards: -0.1795
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- Logps/rejected: -93.6891
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- Logps/chosen: -132.7033
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- Logits/rejected: -1.7025
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- Logits/chosen: -1.9659
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/safe Rewards | Rewards/unsafe Rewards | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------------:|:----------------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 127.076 | 0.27 | 500 | 33.6239 | -0.1345 | -0.0883 | 0.4233 | -0.0461 | -0.1334 | -0.1304 | -93.2350 | -132.2104 | -1.6706 | -1.9417 |
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| 97.4026 | 0.54 | 1000 | 33.0573 | -0.1404 | -0.0909 | 0.4196 | -0.0495 | -0.1392 | -0.1366 | -93.2606 | -132.2694 | -1.6791 | -1.9451 |
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| 129.5189 | 0.81 | 1500 | 32.6552 | -0.1936 | -0.1481 | 0.4347 | -0.0455 | -0.1916 | -0.1891 | -93.8326 | -132.8015 | -1.7046 | -1.9675 |
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### Framework versions
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all_results.json
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"eval_rewards/safe_rewards": -0.
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"eval_rewards/unsafe_rewards": -0.
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"eval_runtime":
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"eval_samples": 33044,
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"eval_samples_per_second":
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"eval_steps_per_second": 1.
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"train_loss":
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"train_runtime":
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"train_samples": 59478,
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"train_samples_per_second": 1.
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"train_steps_per_second": 0.
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"epoch": 1.0,
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"eval_logits/chosen": -1.9658654928207397,
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"eval_logits/rejected": -1.7024726867675781,
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"eval_logps/chosen": -132.70326232910156,
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"eval_logps/rejected": -93.68914794921875,
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"eval_loss": 32.58852767944336,
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"eval_rewards/accuracies": 0.42558082938194275,
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"eval_rewards/chosen": -0.18373823165893555,
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"eval_rewards/margins": -0.05001272261142731,
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"eval_rewards/rejected": -0.13372550904750824,
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"eval_rewards/safe_rewards": -0.18194682896137238,
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"eval_rewards/unsafe_rewards": -0.17947207391262054,
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"eval_runtime": 1794.8761,
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"eval_samples": 33044,
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"eval_samples_per_second": 18.41,
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"eval_steps_per_second": 1.151,
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"train_loss": 168.60366909983853,
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"train_runtime": 39525.3905,
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"train_samples": 59478,
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"train_samples_per_second": 1.505,
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"train_steps_per_second": 0.047
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}
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eval_results.json
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen": -0.
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"eval_rewards/margins": -0.
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"eval_rewards/rejected": -0.
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"eval_rewards/safe_rewards": -0.
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"eval_rewards/unsafe_rewards": -0.
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"eval_runtime":
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"eval_samples": 33044,
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"eval_samples_per_second":
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"eval_steps_per_second": 1.
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"eval_loss": 32.58852767944336,
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"eval_rewards/safe_rewards": -0.18194682896137238,
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"eval_rewards/unsafe_rewards": -0.17947207391262054,
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"eval_runtime": 1794.8761,
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"eval_samples": 33044,
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"eval_samples_per_second": 18.41,
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"eval_steps_per_second": 1.151
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model-00001-of-00003.safetensors
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model-00002-of-00003.safetensors
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train_results.json
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trainer_state.json
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training_args.bin
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