license: mit | |
tags: | |
- generated_from_trainer | |
datasets: | |
- sst2 | |
base_model: gpt2-medium | |
model-index: | |
- name: finetuned_gpt2-medium_sst2_negation0.2_pretrainedFalse | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# finetuned_gpt2-medium_sst2_negation0.2_pretrainedFalse | |
This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the sst2 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 5.2012 | |
## 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: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 4.7789 | 1.0 | 1072 | 5.4517 | | |
| 4.368 | 2.0 | 2144 | 5.2641 | | |
| 4.1183 | 3.0 | 3216 | 5.2012 | | |
### Framework versions | |
- Transformers 4.22.2 | |
- Pytorch 1.13.1+cu117 | |
- Datasets 2.5.2 | |
- Tokenizers 0.12.1 | |