Model save
Browse files- README.md +18 -19
- all_results.json +18 -18
- config.json +1 -1
- 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
- runs/Aug25_01-32-44_ip-10-0-9-154.ec2.internal/events.out.tfevents.1724550949.ip-10-0-9-154.ec2.internal.80146.0 +3 -0
- train_results.json +5 -5
- trainer_state.json +1307 -522
- training_args.bin +1 -1
README.md
CHANGED
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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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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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- trl
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- dpo
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: zephyr-7b-dpo-full
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results: []
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@@ -23,17 +17,17 @@ 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 [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the
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It achieves the following results on the evaluation set:
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## Model description
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| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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|:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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### Framework versions
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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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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: zephyr-7b-dpo-full
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results: []
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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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- Logits/chosen: -0.3096
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- Logits/rejected: 0.6049
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- Logps/chosen: -755.9323
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- Logps/rejected: -1192.5621
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- Loss: 0.3152
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- Rewards/accuracies: 0.8184
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- Rewards/chosen: -4.6496
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- Rewards/margins: 4.3751
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- Rewards/rejected: -9.0247
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## Model description
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| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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|:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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| 0.5385 | 0.1152 | 100 | -2.9012 | -2.8749 | -433.4271 | -527.4997 | 0.4593 | 0.7539 | -1.4246 | 0.9495 | -2.3741 |
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| 0.4369 | 0.2303 | 200 | -1.5078 | -1.1798 | -594.2914 | -823.1062 | 0.3590 | 0.7915 | -3.0332 | 2.2969 | -5.3301 |
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| 0.4119 | 0.3455 | 300 | -0.6166 | -0.1140 | -677.2002 | -996.9340 | 0.3369 | 0.8156 | -3.8623 | 3.2061 | -7.0684 |
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| 0.3964 | 0.4607 | 400 | -0.6209 | 0.2313 | -753.4187 | -1128.0946 | 0.3311 | 0.8178 | -4.6245 | 3.7555 | -8.3800 |
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| 0.3858 | 0.5759 | 500 | -0.7776 | 0.1893 | -694.4181 | -1049.8429 | 0.3247 | 0.8167 | -4.0345 | 3.5630 | -7.5975 |
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| 0.4031 | 0.6910 | 600 | -0.2605 | 0.6163 | -748.3096 | -1143.1573 | 0.3191 | 0.8201 | -4.5734 | 3.9572 | -8.5306 |
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| 0.4007 | 0.8062 | 700 | -0.4982 | 0.4411 | -753.0112 | -1189.4250 | 0.3171 | 0.8178 | -4.6204 | 4.3729 | -8.9933 |
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| 0.3644 | 0.9214 | 800 | -0.3096 | 0.6049 | -755.9323 | -1192.5621 | 0.3152 | 0.8184 | -4.6496 | 4.3751 | -9.0247 |
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### Framework versions
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all_results.json
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config.json
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eval_results.json
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