|
|
--- |
|
|
license: mit |
|
|
base_model: EleutherAI/gpt-neo-1.3B |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: V0410MP2_neo |
|
|
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. --> |
|
|
|
|
|
# V0410MP2_neo |
|
|
|
|
|
This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 5.8587 |
|
|
|
|
|
## 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: 0.0003 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 16 |
|
|
- total_train_batch_size: 128 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: cosine_with_restarts |
|
|
- lr_scheduler_warmup_steps: 20 |
|
|
- num_epochs: 2 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 14.6876 | 0.18 | 20 | 14.8238 | |
|
|
| 15.6833 | 0.36 | 40 | 15.4468 | |
|
|
| 12.87 | 0.54 | 60 | 10.7786 | |
|
|
| 5.4953 | 0.73 | 80 | 4.9276 | |
|
|
| 8.9421 | 0.91 | 100 | 8.9857 | |
|
|
| 9.9807 | 1.09 | 120 | 9.7099 | |
|
|
| 9.1809 | 1.27 | 140 | 9.2579 | |
|
|
| 6.9349 | 1.45 | 160 | 5.9443 | |
|
|
| 5.8015 | 1.63 | 180 | 5.9521 | |
|
|
| 5.6365 | 1.81 | 200 | 5.7121 | |
|
|
| 5.6957 | 1.99 | 220 | 5.8587 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.36.0.dev0 |
|
|
- Pytorch 2.1.2+cu121 |
|
|
- Datasets 2.14.6 |
|
|
- Tokenizers 0.14.1 |
|
|
|
