End of training

README.md

@@ -0,0 +1,67 @@
+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 16_class_esg-tweet-bert_0909_testing_v1
+  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. -->
+
+# 16_class_esg-tweet-bert_0909_testing_v1
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5816
+- Accuracy: 0.8537
+
+## 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: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 246  | 1.5902          | 0.4259   |
+| No log        | 2.0   | 492  | 1.0691          | 0.6548   |
+| 1.5573        | 3.0   | 738  | 0.9085          | 0.7223   |
+| 1.5573        | 4.0   | 984  | 0.8289          | 0.7392   |
+| 0.651         | 5.0   | 1230 | 0.6686          | 0.8143   |
+| 0.651         | 6.0   | 1476 | 0.6554          | 0.8293   |
+| 0.3968        | 7.0   | 1722 | 0.6103          | 0.8349   |
+| 0.3968        | 8.0   | 1968 | 0.5816          | 0.8537   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3