Model save

README.md

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+---
+license: llama2
+base_model: epfl-llm/meditron-7b
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: meditron-7b-dpo-full-wo-kqa_golden-ep3
+  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. -->
+
+# meditron-7b-dpo-full-wo-kqa_golden-ep3
+
+This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4459
+- Rewards/chosen: -0.4566
+- Rewards/rejected: -1.4012
+- Rewards/accuracies: 0.8068
+- Rewards/margins: 0.9447
+- Logps/rejected: -1444.6896
+- Logps/chosen: -859.0582
+- Logits/rejected: -0.9203
+- Logits/chosen: -0.8310
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5643        | 0.5   | 100  | 0.5890          | -0.0484        | -0.2951          | 0.7727             | 0.2467          | -1334.0771     | -818.2397    | -0.8645         | -0.6995       |
+| 0.3959        | 1.0   | 200  | 0.4459          | -0.4566        | -1.4012          | 0.8068             | 0.9447          | -1444.6896     | -859.0582    | -0.9203         | -0.8310       |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.14.6
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.5449820566177368,
+    "train_runtime": 3295.9797,
+    "train_samples": 12791,
+    "train_samples_per_second": 3.881,
+    "train_steps_per_second": 0.061
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.39.0.dev0"
+}

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