tsel_distilgpt / README.md
dev-ninja's picture
update model card README.md
a4bb819
|
raw
history blame
1.72 kB
---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: tsel_distilgpt
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. -->
# tsel_distilgpt
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6157
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 1 | 5.9501 |
| No log | 2.0 | 2 | 5.8630 |
| No log | 3.0 | 3 | 5.7924 |
| No log | 4.0 | 4 | 5.7383 |
| No log | 5.0 | 5 | 5.6969 |
| No log | 6.0 | 6 | 5.6665 |
| No log | 7.0 | 7 | 5.6445 |
| No log | 8.0 | 8 | 5.6297 |
| No log | 9.0 | 9 | 5.6202 |
| No log | 10.0 | 10 | 5.6157 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3