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--- |
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library_name: transformers |
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license: other |
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base_model: saves/Yi-1.5-6B-sft-241208 |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: 6B_241210_sft_special-task_241210 |
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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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# 6B_241210_sft_special-task_241210 |
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This model is a fine-tuned version of [saves/Yi-1.5-6B-sft-241208] on the 10.TCM-SRT, the 2.TCM-DS, the 3.TCM-DID, the 4.TCM-FT-Lite, the 5.TCM-CHGD, the 6.Med-Treat, the 7.TCM-Clin, the 8.TCMeEE, the 9.TCM-LitData, the A_problem, the B_problem, the C_problem, the D_problem, the SPD-5038-gpt4oc, the zl_2 and the zl_3 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3568 |
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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: 2.5e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 128 |
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- total_eval_batch_size: 32 |
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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: 0.05 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.2773 | 1.9560 | 1000 | 0.3568 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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