|
|
--- |
|
|
library_name: transformers |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- arrow |
|
|
model-index: |
|
|
- name: moe_f2_ctrl |
|
|
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. --> |
|
|
|
|
|
# moe_f2_ctrl |
|
|
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on the arrow dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 5.0297 |
|
|
|
|
|
## 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: 0.0001 |
|
|
- train_batch_size: 32 |
|
|
- eval_batch_size: 32 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 2 |
|
|
- gradient_accumulation_steps: 16 |
|
|
- total_train_batch_size: 1024 |
|
|
- total_eval_batch_size: 64 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 500 |
|
|
- training_steps: 3139 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-------:|:----:|:---------------:| |
|
|
| No log | 0 | 0 | 10.9924 | |
|
|
| 5.9544 | 2.9970 | 939 | 5.3775 | |
|
|
| 5.2693 | 3.1943 | 1000 | 5.3046 | |
|
|
| 4.5724 | 5.9970 | 1878 | 4.8553 | |
|
|
| 4.3168 | 6.3886 | 2000 | 4.8878 | |
|
|
| 3.7561 | 9.5829 | 3000 | 5.0274 | |
|
|
| 3.7561 | 10.0287 | 3139 | 5.0297 | |
|
|
| 3.7561 | 10.0319 | 3140 | 5.0297 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.51.0 |
|
|
- Pytorch 2.7.0+cu126 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
|
|
|
