Model save

README.md

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+---
+base_model: yiyanghkust/finbert-tone
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: tradepulse-finbert-importance
+  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. -->
+
+# tradepulse-finbert-importance
+
+This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6842
+- Accuracy: 0.5
+- Precision: 0.8333
+- Recall: 0.5
+- F1: 0.6111
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 3    | 6.1458          | 0.5      | 0.8333    | 0.5    | 0.6111 |
+| No log        | 2.0   | 6    | 4.4376          | 0.5      | 0.8333    | 0.5    | 0.6111 |
+| No log        | 3.0   | 9    | 3.6842          | 0.5      | 0.8333    | 0.5    | 0.6111 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.7.1+cpu
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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