Model save

README.md

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+---
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: selective-pairrm-33076849-mt1
+  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. -->
+
+# selective-pairrm-33076849-mt1
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7142
+- Rewards/chosen: -1.4159
+- Rewards/rejected: -1.4967
+- Rewards/accuracies: 0.5469
+- Rewards/margins: 0.0808
+- Logps/rejected: -567.3423
+- Logps/chosen: -543.0017
+- Logits/rejected: -3.1535
+- Logits/chosen: -3.1646
+
+## 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-07
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5687        | 0.32  | 100  | 0.7266          | -1.4745        | -1.5426          | 0.5352             | 0.0681          | -571.9306      | -548.8583    | -3.1296         | -3.1416       |
+| 0.5901        | 0.64  | 200  | 0.7177          | -1.4102        | -1.4850          | 0.5469             | 0.0748          | -566.1749      | -542.4269    | -3.1042         | -3.1156       |
+| 0.6278        | 0.96  | 300  | 0.7142          | -1.4212        | -1.5010          | 0.5547             | 0.0798          | -567.7791      | -543.5320    | -3.1529         | -3.1641       |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2
+- Datasets 2.14.6
+- Tokenizers 0.15.0

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -3.164646625518799,
+    "eval_logits/rejected": -3.153470039367676,
+    "eval_logps/chosen": -543.001708984375,
+    "eval_logps/rejected": -567.34228515625,
+    "eval_loss": 0.7142251133918762,
+    "eval_rewards/accuracies": 0.546875,
+    "eval_rewards/chosen": -1.4159148931503296,
+    "eval_rewards/margins": 0.08076205104589462,
+    "eval_rewards/rejected": -1.496677041053772,
+    "eval_runtime": 125.7685,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 7.951,
+    "eval_steps_per_second": 0.254,
+    "train_loss": 0.6047722502396657,
+    "train_runtime": 5332.3567,
+    "train_samples": 19958,
+    "train_samples_per_second": 3.75,
+    "train_steps_per_second": 0.059
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -3.164646625518799,
+    "eval_logits/rejected": -3.153470039367676,
+    "eval_logps/chosen": -543.001708984375,
+    "eval_logps/rejected": -567.34228515625,
+    "eval_loss": 0.7142251133918762,
+    "eval_rewards/accuracies": 0.546875,
+    "eval_rewards/chosen": -1.4159148931503296,
+    "eval_rewards/margins": 0.08076205104589462,
+    "eval_rewards/rejected": -1.496677041053772,
+    "eval_runtime": 125.7685,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 7.951,
+    "eval_steps_per_second": 0.254
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2"
+}

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