---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: financeLM_outputpath_Sentiment_Analysis_Balanced__15
  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. -->

# financeLM_outputpath_Sentiment_Analysis_Balanced__15

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5191

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0424        | 1.0   | 358  | 1.6885          |
| 1.3339        | 2.0   | 717  | 1.7008          |
| 1.0278        | 3.0   | 1076 | 1.7622          |
| 0.819         | 4.0   | 1435 | 1.8862          |
| 0.6674        | 5.0   | 1793 | 2.0067          |
| 0.5544        | 6.0   | 2152 | 2.1500          |
| 0.4702        | 7.0   | 2511 | 2.2106          |
| 0.4061        | 8.0   | 2870 | 2.3040          |
| 0.3599        | 9.0   | 3228 | 2.3646          |
| 0.3226        | 10.0  | 3587 | 2.4215          |
| 0.2939        | 11.0  | 3946 | 2.4431          |
| 0.2728        | 12.0  | 4305 | 2.4787          |
| 0.2577        | 13.0  | 4663 | 2.4998          |
| 0.2442        | 14.0  | 5022 | 2.5109          |
| 0.2368        | 14.97 | 5370 | 2.5191          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1