Model save

README.md

@@ -0,0 +1,75 @@
+---
+library_name: transformers
+license: llama3.1
+base_model: mlfoundations-dev/evol_tt_5s
+tags:
+- trl
+- dpo
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: simpo-evol_tt_5s
+  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. -->
+
+# simpo-evol_tt_5s
+
+This model is a fine-tuned version of [mlfoundations-dev/evol_tt_5s](https://huggingface.co/mlfoundations-dev/evol_tt_5s) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4559
+- Rewards/chosen: -44.7747
+- Rewards/rejected: -52.1235
+- Rewards/accuracies: 0.8001
+- Rewards/margins: 7.3488
+- Logps/chosen: -4.4775
+- Logps/rejected: -5.2123
+- Logits/chosen: -0.9505
+- Logits/rejected: -0.9573
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:-------------:|:---------------:|
+| 2.838         | 0.9997 | 442  | 2.4559          | -44.7747       | -52.1235         | 0.8001             | 7.3488          | -4.4775      | -5.2123        | -0.9505       | -0.9573         |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.46.1"
+}