Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-large-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finrobberta
+  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. -->
+
+# finrobberta
+
+This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4613
+- Accuracy: 0.84
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8156        | 1.0   | 52   | 0.8772          | 0.5      |
+| 0.5711        | 2.0   | 104  | 0.7082          | 0.67     |
+| 0.4828        | 3.0   | 156  | 0.5083          | 0.79     |
+| 0.3927        | 4.0   | 208  | 0.4988          | 0.83     |
+| 0.3866        | 5.0   | 260  | 0.4750          | 0.82     |
+| 0.2902        | 6.0   | 312  | 0.4613          | 0.84     |
+| 0.2616        | 7.0   | 364  | 0.4632          | 0.82     |
+| 0.2209        | 8.0   | 416  | 0.4728          | 0.82     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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