--- license: other base_model: KnutJaegersberg/Qwen-1_8B-Llamafied tags: - alignment-handbook - trl - sft - generated_from_trainer - trl - sft - generated_from_trainer datasets: - HuggingFaceH4/ultrachat_200k model-index: - name: qwen_1_8B_llamafied results: [] --- # qwen_1_8B_llamafied This model is a fine-tuned version of [KnutJaegersberg/Qwen-1_8B-Llamafied](https://huggingface.co./KnutJaegersberg/Qwen-1_8B-Llamafied) on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set: - Loss: 1.2486 ## 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: 2e-05 - train_batch_size: 12 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 2 - total_train_batch_size: 96 - total_eval_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 120 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.3881 | 0.1 | 100 | 1.3937 | | 1.3499 | 0.2 | 200 | 1.3372 | | 1.3138 | 0.3 | 300 | 1.3168 | | 1.3152 | 0.4 | 400 | 1.3045 | | 1.2897 | 0.5 | 500 | 1.2954 | | 1.28 | 0.6 | 600 | 1.2882 | | 1.2669 | 0.7 | 700 | 1.2820 | | 1.2591 | 0.8 | 800 | 1.2768 | | 1.2447 | 0.9 | 900 | 1.2721 | | 1.2867 | 1.0 | 1000 | 1.2680 | | 1.1918 | 1.1 | 1100 | 1.2684 | | 1.2002 | 1.2 | 1200 | 1.2660 | | 1.1943 | 1.3 | 1300 | 1.2633 | | 1.199 | 1.4 | 1400 | 1.2607 | | 1.1887 | 1.5 | 1500 | 1.2581 | | 1.1987 | 1.6 | 1600 | 1.2556 | | 1.1954 | 1.7 | 1700 | 1.2534 | | 1.1869 | 1.8 | 1800 | 1.2511 | | 1.1744 | 1.9 | 1900 | 1.2492 | | 1.1718 | 2.0 | 2000 | 1.2486 | | 1.1456 | 2.1 | 2100 | 1.2532 | | 1.1204 | 2.2 | 2200 | 1.2529 | | 1.1347 | 2.3 | 2300 | 1.2519 | | 1.1312 | 2.4 | 2400 | 1.2513 | | 1.1229 | 2.5 | 2500 | 1.2508 | | 1.1287 | 2.6 | 2600 | 1.2500 | | 1.1252 | 2.7 | 2700 | 1.2500 | | 1.139 | 2.8 | 2800 | 1.2498 | | 1.1282 | 2.9 | 2900 | 1.2497 | ### Framework versions - Transformers 4.37.0 - Pytorch 2.1.2+cu118 - Datasets 2.16.1 - Tokenizers 0.15.0