Model save

README.md

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+---
+library_name: transformers
+base_model: yiyanghkust/finbert-tone
+tags:
+- generated_from_trainer
+model-index:
+- name: finBERT-KAM-Classifier
+  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-KAM-Classifier
+
+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:
+- eval_loss: 0.6176
+- eval_runtime: 362.8878
+- eval_samples_per_second: 36.052
+- eval_steps_per_second: 4.508
+- epoch: 1.8812
+- step: 12307
+
+## 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: 5e-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: 500
+- num_epochs: 3
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

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