license: other | |
tags: | |
- generated_from_trainer | |
datasets: | |
- glue | |
model-index: | |
- name: opt-350m-finetuned-sst2 | |
results: [] | |
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# opt-350m-finetuned-sst2 | |
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset. | |
It achieves the following results on the evaluation set: | |
- eval_loss: 2.0427 | |
- eval_accuracy: 0.5034 | |
- eval_runtime: 108.5878 | |
- eval_samples_per_second: 8.03 | |
- eval_steps_per_second: 0.507 | |
- step: 0 | |
## 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: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 5 | |
### Framework versions | |
- Transformers 4.22.0.dev0 | |
- Pytorch 1.12.1 | |
- Datasets 2.4.0 | |
- Tokenizers 0.11.0 | |