初始化项目,由ModelHub XC社区提供模型
Model: Sirawipa/tian-ft Source: Original Platform
This commit is contained in:
70
README.md
Normal file
70
README.md
Normal file
@@ -0,0 +1,70 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
tags:
|
||||
- generated_from_trainer
|
||||
base_model: sail/Sailor-0.5B
|
||||
model-index:
|
||||
- name: tian-ft
|
||||
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. -->
|
||||
|
||||
# tian-ft
|
||||
|
||||
This model is a fine-tuned version of [sail/Sailor-0.5B](https://huggingface.co/sail/Sailor-0.5B) on an unknown dataset.
|
||||
It achieves the following results on the evaluation set:
|
||||
- Loss: 0.3696
|
||||
|
||||
## 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: 0.0002
|
||||
- train_batch_size: 4
|
||||
- eval_batch_size: 4
|
||||
- seed: 42
|
||||
- gradient_accumulation_steps: 4
|
||||
- total_train_batch_size: 16
|
||||
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||||
- lr_scheduler_type: linear
|
||||
- lr_scheduler_warmup_steps: 2
|
||||
- num_epochs: 10
|
||||
- mixed_precision_training: Native AMP
|
||||
|
||||
### Training results
|
||||
|
||||
| Training Loss | Epoch | Step | Validation Loss |
|
||||
|:-------------:|:------:|:----:|:---------------:|
|
||||
| 2.8288 | 0.9362 | 11 | 5.0945 |
|
||||
| 2.0955 | 1.9574 | 23 | 0.5197 |
|
||||
| 0.3705 | 2.9787 | 35 | 0.3038 |
|
||||
| 0.1986 | 4.0 | 47 | 0.2816 |
|
||||
| 0.1402 | 4.9362 | 58 | 0.2941 |
|
||||
| 0.0884 | 5.9574 | 70 | 0.3380 |
|
||||
| 0.0636 | 6.9787 | 82 | 0.3373 |
|
||||
| 0.0477 | 8.0 | 94 | 0.3413 |
|
||||
| 0.0401 | 8.9362 | 105 | 0.3689 |
|
||||
| 0.0267 | 9.3617 | 110 | 0.3696 |
|
||||
|
||||
|
||||
### Framework versions
|
||||
|
||||
- Transformers 4.41.0
|
||||
- Pytorch 2.1.2+cu121
|
||||
- Datasets 2.19.0
|
||||
- Tokenizers 0.19.1
|
||||
Reference in New Issue
Block a user