Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: SausageLM-7b-Instruct-v0.01-dpo-qlora
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# SausageLM-7b-Instruct-v0.01-dpo-qlora
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4204
+- Rewards/chosen: -1.9644
+- Rewards/rejected: -3.5978
+- Rewards/accuracies: 0.8020
+- Rewards/margins: 1.6333
+- Logps/rejected: -778.7791
+- Logps/chosen: -552.1046
+- Logits/rejected: 1.3639
+- Logits/chosen: 0.3998
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 1
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4906        | 0.08  | 300  | 0.5340          | -1.1814        | -1.8425          | 0.7310             | 0.6611          | -603.2533      | -473.8014    | -1.6234         | -1.7536       |
+| 0.4794        | 0.16  | 600  | 0.4701          | -1.3882        | -2.4799          | 0.7700             | 1.0918          | -666.9945      | -494.4773    | 1.2460          | 0.4450        |
+| 0.4519        | 0.24  | 900  | 0.4566          | -1.4239        | -2.6724          | 0.7730             | 1.2485          | -686.2431      | -498.0537    | 1.0803          | 0.1979        |
+| 0.4034        | 0.31  | 1200 | 0.4487          | -1.9028        | -3.5170          | 0.7870             | 1.6142          | -770.7061      | -545.9451    | 1.7156          | 0.7244        |
+| 0.4193        | 0.39  | 1500 | 0.4420          | -1.8864        | -3.4847          | 0.7840             | 1.5983          | -767.4712      | -544.3021    | 0.9998          | 0.0019        |
+| 0.409         | 0.47  | 1800 | 0.4365          | -2.0591        | -3.7221          | 0.7920             | 1.6630          | -791.2130      | -561.5723    | 1.4876          | 0.5341        |
+| 0.4037        | 0.55  | 2100 | 0.4334          | -2.1275        | -3.8835          | 0.7970             | 1.7560          | -807.3529      | -568.4110    | 1.9485          | 0.9489        |
+| 0.3829        | 0.63  | 2400 | 0.4248          | -1.8791        | -3.4902          | 0.8010             | 1.6111          | -768.0193      | -543.5670    | 1.5421          | 0.5047        |
+| 0.47          | 0.71  | 2700 | 0.4211          | -1.8565        | -3.4027          | 0.8030             | 1.5462          | -759.2699      | -541.3088    | 1.5152          | 0.5343        |
+| 0.3769        | 0.79  | 3000 | 0.4205          | -1.9199        | -3.5317          | 0.8010             | 1.6119          | -772.1762      | -547.6463    | 1.5142          | 0.5326        |
+| 0.3921        | 0.86  | 3300 | 0.4216          | -2.0430        | -3.7240          | 0.8050             | 1.6810          | -791.3992      | -559.9616    | 1.5287          | 0.5531        |
+| 0.4249        | 0.94  | 3600 | 0.4204          | -1.9591        | -3.5883          | 0.8000             | 1.6292          | -777.8283      | -551.5704    | 1.3533          | 0.3917        |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.0

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all_results.json

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+    "eval_logps/chosen": -552.1046142578125,
+    "eval_logps/rejected": -778.7791137695312,
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+    "eval_rewards/accuracies": 0.8019999861717224,
+    "eval_rewards/chosen": -1.9644380807876587,
+    "eval_rewards/margins": 1.633329153060913,
+    "eval_rewards/rejected": -3.5977675914764404,
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+    "eval_samples": 2000,
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+    "eval_steps_per_second": 0.363,
+    "train_loss": 0.43769783746998087,
+    "train_runtime": 91189.3347,
+    "train_samples": 61135,
+    "train_samples_per_second": 0.67,
+    "train_steps_per_second": 0.042
+}

eval_results.json

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+    "eval_logits/rejected": 1.363898754119873,
+    "eval_logps/chosen": -552.1046142578125,
+    "eval_logps/rejected": -778.7791137695312,
+    "eval_loss": 0.4203870892524719,
+    "eval_rewards/accuracies": 0.8019999861717224,
+    "eval_rewards/chosen": -1.9644380807876587,
+    "eval_rewards/margins": 1.633329153060913,
+    "eval_rewards/rejected": -3.5977675914764404,
+    "eval_runtime": 1376.4504,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 1.453,
+    "eval_steps_per_second": 0.363
+}

runs/Jan14_23-44-38_bronxx/events.out.tfevents.1705272324.bronxx.25818.0

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train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.43769783746998087,
+    "train_runtime": 91189.3347,
+    "train_samples": 61135,
+    "train_samples_per_second": 0.67,
+    "train_steps_per_second": 0.042
+}