|
--- |
|
license: mit |
|
base_model: gpt2 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: distilgpt2-CLM-DSM-NoOerlap |
|
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. --> |
|
|
|
# distilgpt2-CLM-DSM-NoOerlap |
|
|
|
This model is a fine-tuned version of [gpt2](https://huggingface.co./gpt2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.4500 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 84 | 2.6146 | |
|
| No log | 2.0 | 168 | 2.5488 | |
|
| No log | 3.0 | 252 | 2.5136 | |
|
| No log | 4.0 | 336 | 2.4924 | |
|
| No log | 5.0 | 420 | 2.4777 | |
|
| 2.6089 | 6.0 | 504 | 2.4665 | |
|
| 2.6089 | 7.0 | 588 | 2.4599 | |
|
| 2.6089 | 8.0 | 672 | 2.4540 | |
|
| 2.6089 | 9.0 | 756 | 2.4509 | |
|
| 2.6089 | 10.0 | 840 | 2.4500 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.2.1 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
