End of training

README.md

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+---
+base_model: ProsusAI/finbert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finbert
+  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. -->
+
+# finbert
+
+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: 0.3181
+- Accuracy: 0.7891
+
+## 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
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4355        | 1.0   | 818  | 0.3364          | 0.7677   |
+| 0.3034        | 2.0   | 1636 | 0.3181          | 0.7891   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jul31_12-34-59_5928b804e537/events.out.tfevents.1722429300.5928b804e537.1660.0

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