KAM-finText

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: FinText/FinText-Base-2023
+tags:
+- generated_from_trainer
+model-index:
+- name: KAM-finText
+  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. -->
+
+# KAM-finText
+
+This model is a fine-tuned version of [FinText/FinText-Base-2023](https://huggingface.co/FinText/FinText-Base-2023) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7209
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 1.5
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.8396        | 1.0    | 13083 | 0.7284          |
+| 0.5855        | 1.5000 | 19625 | 0.7209          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.2
+- Tokenizers 0.20.1