transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:ai-forever/rugpt3medium_based_on_gpt2 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: ai-forever/rugpt3medium_based_on_gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2medium-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2medium-finetuned

This model is a fine-tuned version of [ai-forever/rugpt3medium_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3medium_based_on_gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1476

## 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: 0.005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0464        | 5.0   | 5    | 2.7436          |
| 2.2106        | 10.0  | 10   | 1.6388          |
| 1.1598        | 15.0  | 15   | 0.6276          |
| 0.3638        | 20.0  | 20   | 0.1913          |
| 0.0696        | 25.0  | 25   | 0.1476          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
