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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cont_medium_4_256
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. -->
# cont_medium_4_256
This model is a fine-tuned version of [sberbank-ai/rugpt3medium_based_on_gpt2](https://huggingface.co/sberbank-ai/rugpt3medium_based_on_gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7602
- Accuracy: 0.3436
## 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: 1.5e-05
- train_batch_size: 6
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.4091 | 1.0 | 160 | 3.7238 | 0.3472 |
| 3.2338 | 2.0 | 320 | 3.7393 | 0.3446 |
| 3.1684 | 3.0 | 480 | 3.7518 | 0.3444 |
| 3.0989 | 4.0 | 640 | 3.7602 | 0.3436 |
### Framework versions
- Transformers 4.23.1
- Pytorch 1.8.1+cu111
- Datasets 2.5.2
- Tokenizers 0.13.1
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