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Librarian Bot: Add base_model information to model (#2)
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---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
base_model: ProsusAI/finbert
model-index:
- name: News-Sentimental-model-Buy-Neutral-Sell
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# News-Sentimental-model-Buy-Neutral-Sell
This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0538
- Accuracy: 0.4431
- F1: 0.4431
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
### Framework versions
- Transformers 4.30.2
- Pytorch 2.1.0.dev20230523+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3