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_silver_wogold-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_silver_wogold-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:
+- Logits/chosen: -0.6676
+- Logits/rejected: -0.8939
+- Logps/chosen: -826.0934
+- Logps/rejected: -1433.1564
+- Loss: 0.6219
+- Rewards/accuracies: 0.7459
+- Rewards/chosen: -0.0445
+- Rewards/margins: 0.1998
+- Rewards/rejected: -0.2443
+
+## 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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
+|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
+| 0.5615        | 0.61  | 100  | -0.6676       | -0.8939         | -826.0934    | -1433.1564     | 0.6219          | 0.7459             | -0.0445        | 0.1998          | -0.2443          |
+
+
+### 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": 0.20238888480446554,
+    "train_runtime": 919.6394,
+    "train_samples": 10540,
+    "train_samples_per_second": 11.461,
+    "train_steps_per_second": 0.179
+}

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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