---
tags:
- generated_from_trainer
model-index:
- name: RoBERTa-GPT2_EmpAI_FineTuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RoBERTa-GPT2_EmpAI_FineTuned

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9871

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.3753        | 1.0   | 3867  | 4.3100          |
| 2.873         | 2.0   | 7734  | 2.8619          |
| 2.0204        | 3.0   | 11601 | 2.0694          |
| 1.6845        | 4.0   | 15468 | 1.7321          |
| 1.5994        | 5.0   | 19335 | 1.6773          |
| 1.3579        | 6.0   | 23202 | 1.3416          |
| 1.0921        | 7.0   | 27069 | 1.1302          |
| 0.975         | 8.0   | 30936 | 1.0375          |
| 0.9599        | 9.0   | 34803 | 0.9928          |
| 0.9228        | 10.0  | 38670 | 0.9871          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2