|
--- |
|
base_model: ./core-350 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: core-350 |
|
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. --> |
|
|
|
# core-350 |
|
| Task |Version| Metric |Value | |Stderr| |
|
|-------------|------:|--------|-----:|---|-----:| |
|
|arc_challenge| 0|acc |0.2048|± |0.0118| |
|
| | |acc_norm|0.2509|± |0.0127| |
|
|arc_easy | 0|acc |0.4247|± |0.0101| |
|
| | |acc_norm|0.3965|± |0.0100| |
|
|boolq | 1|acc |0.5468|± |0.0087| |
|
|hellaswag | 0|acc |0.2844|± |0.0045| |
|
| | |acc_norm|0.3031|± |0.0046| |
|
|openbookqa | 0|acc |0.1560|± |0.0162| |
|
| | |acc_norm|0.2660|± |0.0198| |
|
|piqa | 0|acc |0.5854|± |0.0115| |
|
| | |acc_norm|0.5762|± |0.0115| |
|
|winogrande | 0|acc |0.4909|± |0.0141| |
|
|
|
This model is a fine-tuned version of [./core-350](https://huggingface.co/./core-350) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8128 |
|
- Accuracy: 0.8237 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 32 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 10.0 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0.dev0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
