Update README.md

README.md

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 ---
 license: apache-2.0
----
+base_model: NousResearch/Yarn-Mistral-7b-128k
+tags:
+- generated_from_trainer
+model-index:
+- name: unraveled-7b-dpo-lora
+  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. -->
+
+# unraveled-7b-dpo-lora
+
+This model is a fine-tuned version of [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k), following the Zephyr alignment protocol.
+It achieves the following results on the evaluation set:
+- Loss: 0.5895
+- Rewards/chosen: 0.1439
+- Rewards/rejected: -0.1833
+- Rewards/accuracies: 0.6880
+- Rewards/margins: 0.3272
+- Logps/rejected: -221.8329
+- Logps/chosen: -266.1414
+- Logits/rejected: -1.9675
+- Logits/chosen: -2.0859
+
+## 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: 4
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 256
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6313        | 1.0   | 242  | 0.6318          | 0.1228         | -0.0304          | 0.6600             | 0.1532          | -220.3036      | -266.3521    | -1.9863         | -2.1062       |
+| 0.6013        | 2.0   | 484  | 0.5983          | 0.1484         | -0.1334          | 0.6760             | 0.2819          | -221.3338      | -266.0959    | -1.9723         | -2.0914       |
+| 0.5889        | 3.0   | 726  | 0.5895          | 0.1439         | -0.1833          | 0.6880             | 0.3272          | -221.8329      | -266.1414    | -1.9675         | -2.0859       |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1