Model save

README.md

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+---
+license: other
+base_model: lewtun/gemma-7b-sft-full-deita-10k-v0
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: gemma-7b-dpo-full-mix1-beta-0.4-epoch-3
+  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. -->
+
+# gemma-7b-dpo-full-mix1-beta-0.4-epoch-3
+
+This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-deita-10k-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-deita-10k-v0) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0775
+- Rewards/chosen: -6.7226
+- Rewards/rejected: -12.3440
+- Rewards/accuracies: 0.7396
+- Rewards/margins: 5.6214
+- Logps/rejected: -482.4095
+- Logps/chosen: -470.2108
+- Logits/rejected: 99.2330
+- Logits/chosen: 105.2899
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- 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: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2569        | 1.9   | 100  | 1.0775          | -6.7226        | -12.3440         | 0.7396             | 5.6214          | -482.4095      | -470.2108    | 99.2330         | 105.2899      |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.1

all_results.json

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+{
+    "epoch": 2.96,
+    "train_loss": 0.5786063394103295,
+    "train_runtime": 1791.9811,
+    "train_samples": 6750,
+    "train_samples_per_second": 11.3,
+    "train_steps_per_second": 0.087
+}

generation_config.json

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+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.0.dev0"
+}

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