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: -
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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: 0.6777
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- Rewards/chosen: -0.1371
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- Rewards/rejected: -0.0830
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- Rewards/accuracies: 0.4693
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- Rewards/margins: -0.0541
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- Rewards/safe Rewards: -0.1332
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- Rewards/unsafe Rewards: -0.1263
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- Logps/rejected: -92.4348
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- Logps/chosen: -131.0029
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- Logits/rejected: -1.8308
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- Logits/chosen: -2.0825
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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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| 131.6857 | 0.27 | 500 | 0.8894 | -0.1023 | -0.0129 | 0.4546 | -0.0893 | -0.1043 | -0.1017 | -92.3648 | -130.9681 | -1.8032 | -2.0565 |
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| 34.7958 | 0.54 | 1000 | 0.7397 | -0.1263 | -0.1290 | 0.5028 | 0.0026 | -0.1237 | -0.1264 | -92.4809 | -130.9922 | -1.7990 | -2.0551 |
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| 15.9924 | 0.81 | 1500 | 0.6823 | -0.1578 | -0.1077 | 0.4713 | -0.0501 | -0.1557 | -0.1535 | -92.4596 | -131.0237 | -1.8335 | -2.0849 |
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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_runtime":
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"eval_samples": 33044,
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"eval_samples_per_second":
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"eval_steps_per_second":
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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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"eval_logits/chosen": -2.0824697017669678,
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"eval_logits/rejected": -1.830767273902893,
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"eval_logps/chosen": -131.0029296875,
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"eval_logps/rejected": -92.43484497070312,
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"eval_loss": 0.6776853799819946,
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"eval_rewards/accuracies": 0.4693247675895691,
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"eval_rewards/chosen": -0.13705651462078094,
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"eval_rewards/margins": -0.0540921576321125,
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"eval_rewards/rejected": -0.08296435326337814,
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"eval_rewards/safe_rewards": -0.1332445591688156,
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"eval_rewards/unsafe_rewards": -0.12632378935813904,
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"eval_runtime": 2192.4744,
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"eval_samples": 33044,
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"eval_samples_per_second": 15.072,
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"eval_steps_per_second": 0.942,
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"train_loss": 67.04043597990268,
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"train_runtime": 46860.0347,
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"train_samples": 59478,
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"train_samples_per_second": 1.269,
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"train_steps_per_second": 0.04
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}
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eval_results.json
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"eval_loss":
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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":
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"eval_loss": 0.6776853799819946,
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"eval_rewards/accuracies": 0.4693247675895691,
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"eval_rewards/margins": -0.0540921576321125,
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"eval_rewards/safe_rewards": -0.1332445591688156,
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"eval_rewards/unsafe_rewards": -0.12632378935813904,
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"eval_runtime": 2192.4744,
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"eval_samples": 33044,
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"eval_samples_per_second": 15.072,
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"eval_steps_per_second": 0.942
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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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