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Model: yakazimir/simpo-exps_qwen05b
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: trl-lib/qwen1.5-0.5b-sft
+tags:
+- alignment-handbook
+- trl
+- simpo
+- generated_from_trainer
+model-index:
+- name: trl-lib/qwen1.5-0.5b-sft
+  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. -->
+
+# trl-lib/qwen1.5-0.5b-sft
+
+This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7797
+- Rewards/chosen: -1.7866
+- Rewards/rejected: -1.8726
+- Rewards/accuracies: 0.5230
+- Rewards/margins: 0.0860
+- Logps/rejected: -1.8726
+- Logps/chosen: -1.7866
+- Logits/rejected: -0.3259
+- Logits/chosen: -0.3565
+- Semantic Entropy: 0.6461
+
+## 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-08
+- train_batch_size: 1
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 60
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1