update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51
+  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. -->
+
+# finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51
+
+This model is a fine-tuned version of [siebert/sentiment-roberta-large-english](https://huggingface.co/siebert/sentiment-roberta-large-english) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4563
+- Accuracy: 0.8440
+- F1: 0.8954
+
+## 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: 2e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 195  | 0.4302          | 0.8073   | 0.8754 |
+| No log        | 2.0   | 390  | 0.3970          | 0.8220   | 0.8875 |
+| 0.3703        | 3.0   | 585  | 0.3972          | 0.8402   | 0.8934 |
+| 0.3703        | 4.0   | 780  | 0.4945          | 0.8390   | 0.8935 |
+| 0.3703        | 5.0   | 975  | 0.5354          | 0.8305   | 0.8898 |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.1+cu113
+- Datasets 1.18.0
+- Tokenizers 0.10.3