update model card README.md

README.md

@@ -0,0 +1,69 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: sentiment-5Epochs
+  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. -->
+
+# sentiment-5Epochs
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4947
+- Accuracy: 0.8719
+- F1: 0.8685
+- Precision: 0.8919
+- Recall: 0.8463
+
+## 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: 8
+- eval_batch_size: 8
+- 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     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.3566        | 1.0   | 7088  | 0.3987          | 0.8627   | 0.8505 | 0.9336    | 0.7810 |
+| 0.3468        | 2.0   | 14176 | 0.3861          | 0.8702   | 0.8638 | 0.9085    | 0.8232 |
+| 0.335         | 3.0   | 21264 | 0.4421          | 0.8759   | 0.8697 | 0.9154    | 0.8283 |
+| 0.3003        | 4.0   | 28352 | 0.4601          | 0.8754   | 0.8696 | 0.9119    | 0.8311 |
+| 0.2995        | 5.0   | 35440 | 0.4947          | 0.8719   | 0.8685 | 0.8919    | 0.8463 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0
+- Datasets 2.0.0
+- Tokenizers 0.11.6