samchain/EconoSentiment

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: samchain/econo-sentence-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: EconoSentiment
+  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. -->
+
+# EconoSentiment
+
+This model is a fine-tuned version of [samchain/econo-sentence-v2](https://huggingface.co/samchain/econo-sentence-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1293
+- Accuracy: 0.962
+- F1: 0.9619
+- Precision: 0.9619
+- Recall: 0.962
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.5992        | 1.0   | 158  | 0.4854          | 0.805    | 0.7692 | 0.8108    | 0.805  |
+| 0.0985        | 2.0   | 316  | 0.1293          | 0.962    | 0.9619 | 0.9619    | 0.962  |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.1.0+cu118
+- Datasets 3.4.1
+- Tokenizers 0.21.1

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tokenizer.json

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training_args.bin

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