End of training

README.md

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+---
+license: apache-2.0
+base_model: Twitter/twhin-bert-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: financial-twhin-bert-large-3labels-dev
+  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. -->
+
+# financial-twhin-bert-large-3labels-dev
+
+This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4379
+- Accuracy: 0.8847
+- F1: 0.8857
+
+## 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: 3.812006227593217e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.5859        | 1.0   | 2283 | 1.5711          | 0.2039   | 0.0800 |
+| 0.1601        | 2.0   | 4566 | 0.4379          | 0.8847   | 0.8857 |
+| 0.0875        | 3.0   | 6849 | 0.5111          | 0.8854   | 0.8868 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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runs/Feb21_23-03-04_1a2e434dca9b/events.out.tfevents.1708558048.1a2e434dca9b.2543.7

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