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---
library_name: transformers
license: other
base_model: saves/Yi-1.5-6B-sft-241208
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: 6B_241210_sft_special-task_241210
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. -->
# 6B_241210_sft_special-task_241210
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.
It achieves the following results on the evaluation set:
- Loss: 0.3568
## 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: 2.5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2773 | 1.9560 | 1000 | 0.3568 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
|