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--- |
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license: apache-2.0 |
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base_model: princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: sheared_llama_1.3b-reazon_v2-ja_en_trans-T2T |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# sheared_llama_1.3b-reazon_v2-ja_en_trans-T2T |
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This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3844 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 1024 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.0409 | 0.0114 | 10 | 1.7202 | |
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| 1.6901 | 0.0229 | 20 | 1.6101 | |
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| 1.5859 | 0.0343 | 30 | 1.5446 | |
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| 1.5533 | 0.0458 | 40 | 1.5029 | |
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| 1.4937 | 0.0572 | 50 | 1.4722 | |
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| 1.4802 | 0.0687 | 60 | 1.4492 | |
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| 1.4484 | 0.0801 | 70 | 1.4302 | |
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| 1.4292 | 0.0916 | 80 | 1.4183 | |
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| 1.4203 | 0.1030 | 90 | 1.4078 | |
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| 1.4184 | 0.1145 | 100 | 1.3985 | |
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| 1.4045 | 0.1259 | 110 | 1.3923 | |
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| 1.4125 | 0.1374 | 120 | 1.3886 | |
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| 1.4098 | 0.1488 | 130 | 1.3877 | |
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| 1.3921 | 0.1603 | 140 | 1.3859 | |
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| 1.3984 | 0.1717 | 150 | 1.3851 | |
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| 1.3858 | 0.1832 | 160 | 1.3845 | |
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| 1.3995 | 0.1946 | 170 | 1.3842 | |
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| 1.3943 | 0.2061 | 180 | 1.3847 | |
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| 1.3988 | 0.2175 | 190 | 1.3844 | |
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| 1.3969 | 0.2290 | 200 | 1.3844 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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