base_model: AIRI-Institute/gena-lm-bert-base | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
- f1 | |
- precision | |
- recall | |
model-index: | |
- name: results_short_multi | |
results: [] | |
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# results_short_multi | |
This model is a fine-tuned version of [AIRI-Institute/gena-lm-bert-base](https://huggingface.co/AIRI-Institute/gena-lm-bert-base) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.6943 | |
- Accuracy: 0.4984 | |
- F1: 0.6652 | |
- Precision: 0.4984 | |
- Recall: 1.0 | |
## 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: 5e-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: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | |
| 0.6893 | 1.0 | 3125 | 0.6936 | 0.5025 | 0.6689 | 0.5025 | 1.0 | | |
| 0.7022 | 2.0 | 6250 | 0.6948 | 0.5025 | 0.6689 | 0.5025 | 1.0 | | |
| 0.6899 | 3.0 | 9375 | 0.6940 | 0.5025 | 0.6689 | 0.5025 | 1.0 | | |
### Framework versions | |
- Transformers 4.35.0 | |
- Pytorch 2.1.0+cu118 | |
- Datasets 2.14.6 | |
- Tokenizers 0.14.1 | |