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---
base_model: ahmedrachid/FinancialBERT-Sentiment-Analysis
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: sentiment_pc_under_sampler
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. -->
# sentiment_pc_under_sampler
This model is a fine-tuned version of [ahmedrachid/FinancialBERT-Sentiment-Analysis](https://huggingface.co/ahmedrachid/FinancialBERT-Sentiment-Analysis) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5934
- Accuracy: 0.8235
- F1: 0.8236
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| No log | 0.4464 | 50 | 0.5398 | 0.7797 | 0.7809 |
| No log | 0.8929 | 100 | 0.4638 | 0.8203 | 0.8221 |
| No log | 1.3393 | 150 | 0.4749 | 0.8183 | 0.8196 |
| No log | 1.7857 | 200 | 0.4944 | 0.8144 | 0.8150 |
| No log | 2.2321 | 250 | 0.5050 | 0.8157 | 0.8158 |
| No log | 2.6786 | 300 | 0.5470 | 0.8085 | 0.8079 |
| No log | 3.125 | 350 | 0.5299 | 0.8196 | 0.8200 |
| No log | 3.5714 | 400 | 0.5651 | 0.8150 | 0.8146 |
| No log | 4.0179 | 450 | 0.5684 | 0.8288 | 0.8294 |
| 0.3419 | 4.4643 | 500 | 0.5934 | 0.8235 | 0.8236 |
| 0.3419 | 4.9107 | 550 | 0.5976 | 0.8203 | 0.8208 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|