|
--- |
|
base_model: linker_v5/stage1 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- jarod0411/linker_v3 |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: stage2_v5 |
|
results: |
|
- task: |
|
name: Causal Language Modeling |
|
type: text-generation |
|
dataset: |
|
name: jarod0411/linker_v3 |
|
type: jarod0411/linker_v3 |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.916456858900755 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# stage2_v5 |
|
|
|
This model is a fine-tuned version of [linker_v5/stage1](https://huggingface.co/linker_v5/stage1) on the jarod0411/linker_v3 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2448 |
|
- Accuracy: 0.9165 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 24 |
|
- eval_batch_size: 24 |
|
- seed: 1 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- total_train_batch_size: 192 |
|
- total_eval_batch_size: 192 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:------:|:---------------:|:--------:| |
|
| 0.3173 | 1.0 | 11304 | 0.2837 | 0.9060 | |
|
| 0.284 | 2.0 | 22608 | 0.2613 | 0.9124 | |
|
| 0.2719 | 3.0 | 33912 | 0.2546 | 0.9140 | |
|
| 0.2654 | 4.0 | 45216 | 0.2511 | 0.9148 | |
|
| 0.2613 | 5.0 | 56520 | 0.2489 | 0.9154 | |
|
| 0.2586 | 6.0 | 67824 | 0.2474 | 0.9158 | |
|
| 0.2569 | 7.0 | 79128 | 0.2463 | 0.9161 | |
|
| 0.2553 | 8.0 | 90432 | 0.2455 | 0.9163 | |
|
| 0.2545 | 9.0 | 101736 | 0.2450 | 0.9164 | |
|
| 0.2539 | 10.0 | 113040 | 0.2448 | 0.9165 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.0.dev0 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.15.2 |
|
|
