Model save

README.md

@@ -0,0 +1,75 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: bespokelabs/Bespoke-Stratos-7B
+tags:
+- trl
+- dpo
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: dpo_from_multiple_samples_shortest_numina_aime
+  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. -->
+
+# dpo_from_multiple_samples_shortest_numina_aime
+
+This model is a fine-tuned version of [bespokelabs/Bespoke-Stratos-7B](https://huggingface.co/bespokelabs/Bespoke-Stratos-7B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.5934
+- Rewards/chosen: -7.6229
+- Rewards/rejected: -8.1168
+- Rewards/accuracies: 0.5859
+- Rewards/margins: 0.4940
+- Logps/chosen: -0.7623
+- Logps/rejected: -0.8117
+- Logits/chosen: -0.6184
+- Logits/rejected: -0.4483
+
+## 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: 8e-07
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- 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/chosen | Logps/rejected | Logits/chosen | Logits/rejected |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:-------------:|:---------------:|
+| 4.3711        | 0.96  | 18   | 4.5934          | -7.6229        | -8.1168          | 0.5859             | 0.4940          | -0.7623      | -0.8117        | -0.6184       | -0.4483         |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.46.1"
+}