End of training

README.md

@@ -1,20 +1,31 @@
 ---
-license: mit
-base_model: FacebookAI/xlm-roberta-base
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
-- name: absa-train-service
+- name: absa-train-service-gg-bert-multilingual
   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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/huggingface/runs/pbw9qe2c)
-# absa-train-service
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721788682.8055813/runs/6du7w59h)
+# absa-train-service-gg-bert-multilingual
 
-This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9467
+- Accuracy: 0.4667
+- Precision: 0.4925
+- Recall: 0.4772
+- F1: 0.4218
 
 ## Model description
 
@@ -42,9 +53,23 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 8
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 2.2865        | 1.0   | 438  | 2.2450          | 0.2067   | 0.1363    | 0.2097 | 0.1125 |
+| 2.2026        | 2.0   | 876  | 2.1433          | 0.3013   | 0.3069    | 0.3118 | 0.2477 |
+| 2.1325        | 3.0   | 1314 | 2.0787          | 0.3307   | 0.4191    | 0.3267 | 0.2936 |
+| 2.0705        | 4.0   | 1752 | 2.0219          | 0.4107   | 0.4532    | 0.4202 | 0.3533 |
+| 2.0617        | 5.0   | 2190 | 1.9910          | 0.4293   | 0.3812    | 0.4402 | 0.3826 |
+| 2.0226        | 6.0   | 2628 | 1.9646          | 0.4333   | 0.4792    | 0.4421 | 0.3745 |
+| 1.9997        | 7.0   | 3066 | 1.9522          | 0.4733   | 0.5002    | 0.4838 | 0.4294 |
+| 1.9882        | 8.0   | 3504 | 1.9467          | 0.4667   | 0.4925    | 0.4772 | 0.4218 |
+
+
 ### Framework versions
 
-- Transformers 4.42.4
+- Transformers 4.43.1
 - Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:67de7bb831518fdadad663ce2d951d671ad5086692a08e6157e5f33d37a59393
+oid sha256:22ae7ae7b3153c47d5b43beca7de3bad1796da701bf500472fb8be960107e40d
 size 711471148