Model save
Browse files
README.md
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---
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base_model: yiyanghkust/finbert-tone
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: tradepulse-finbert-prod
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# tradepulse-finbert-prod
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This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2235
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- Accuracy: 1.0
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 6
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 3 | 0.3003 | 0.8333 | 0.9167 | 0.8333 | 0.8519 |
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| No log | 2.0 | 6 | 0.1473 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 3.0 | 9 | 0.2235 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.7.1+cpu
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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logs/events.out.tfevents.1751960930.pkrvmbietmlfzoi.2386.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 6768
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