update model card README.md

README.md

@@ -0,0 +1,70 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: hasoc19-bert-base-multilingual-uncased-sentiment-new
+  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. -->
+
+# hasoc19-bert-base-multilingual-uncased-sentiment-new
+
+This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4879
+- Accuracy: 0.8433
+- Precision: 0.8441
+- Recall: 0.8433
+- F1: 0.8436
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.4931        | 1.0   | 537  | 0.4011          | 0.8192   | 0.8212    | 0.8192 | 0.8198 |
+| 0.3643        | 2.0   | 1074 | 0.4020          | 0.8291   | 0.8298    | 0.8291 | 0.8294 |
+| 0.2816        | 3.0   | 1611 | 0.3837          | 0.8339   | 0.8378    | 0.8339 | 0.8347 |
+| 0.2378        | 4.0   | 2148 | 0.4235          | 0.8381   | 0.8378    | 0.8381 | 0.8379 |
+| 0.1904        | 5.0   | 2685 | 0.4753          | 0.8349   | 0.8350    | 0.8349 | 0.8349 |
+| 0.1597        | 6.0   | 3222 | 0.4879          | 0.8433   | 0.8441    | 0.8433 | 0.8436 |
+
+
+### Framework versions
+
+- Transformers 4.24.0.dev0
+- Pytorch 1.11.0+cu102
+- Datasets 2.6.1
+- Tokenizers 0.13.1