Model save

README.md

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+---
+license: mit
+base_model: BramVanroy/fietje-2b-sft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: fietje-2b-dpo-lr2.0e-6-beta0.2-gradaccum2-v6
+  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. -->
+
+# fietje-2b-dpo-lr2.0e-6-beta0.2-gradaccum2-v6
+
+This model is a fine-tuned version of [BramVanroy/fietje-2b-sft](https://huggingface.co/BramVanroy/fietje-2b-sft) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2842
+- Rewards/chosen: -1.1549
+- Rewards/rejected: -3.6363
+- Rewards/accuracies: 0.8867
+- Rewards/margins: 2.4815
+- Logps/rejected: -657.6813
+- Logps/chosen: -451.3364
+- Logits/rejected: -1.2868
+- Logits/chosen: -1.3528
+
+## 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: 2e-06
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2515        | 1.0   | 1166 | 0.2842          | -1.1549        | -3.6363          | 0.8867             | 2.4815          | -657.6813      | -451.3364    | -1.2868         | -1.3528       |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.3634731802597361,
+    "train_runtime": 16591.2723,
+    "train_samples": 18653,
+    "train_samples_per_second": 1.124,
+    "train_steps_per_second": 0.07
+}

generation_config.json

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+{
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+  "bos_token_id": 50295,
+  "eos_token_id": 50296,
+  "pad_token_id": 50296,
+  "transformers_version": "4.39.1"
+}

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+}

train_results.json

@@ -0,0 +1,8 @@
+{
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+    "train_samples": 18653,
+    "train_samples_per_second": 1.124,
+    "train_steps_per_second": 0.07
+}