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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - financial_phrasebank
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+ metrics:
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+ - recall
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+ - accuracy
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+ - precision
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+ model-index:
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+ - name: TOMFINSEN
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: financial_phrasebank
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+ type: financial_phrasebank
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+ args: sentences_50agree
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+ metrics:
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+ - name: Recall
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+ type: recall
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+ value: 0.8985861629736692
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8742268041237113
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+ - name: Precision
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+ type: precision
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+ value: 0.8509995913451198
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # TOMFINSEN
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+
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+ This model is a fine-tuned version of [deepmind/language-perceiver](https://huggingface.co/deepmind/language-perceiver) on the financial_phrasebank dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3642
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+ - Recall: 0.8986
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+ - Accuracy: 0.8742
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+ - Precision: 0.8510
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - distributed_type: tpu
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Recall | Accuracy | Precision |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|
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+ | 0.5403 | 1.0 | 273 | 0.4207 | 0.8358 | 0.8619 | 0.8534 |
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+ | 0.3939 | 2.0 | 546 | 0.3750 | 0.8943 | 0.8577 | 0.8225 |
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+ | 0.1993 | 3.0 | 819 | 0.3113 | 0.8882 | 0.8660 | 0.8367 |
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+ | 0.301 | 4.0 | 1092 | 0.3642 | 0.8986 | 0.8742 | 0.8510 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.15.0
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+ - Pytorch 1.9.0+cu102
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+ - Datasets 1.17.0
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+ - Tokenizers 0.10.3