End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: mit
-base_model: xlm-roberta-base
+base_model: finiteautomata/beto-sentiment-analysis
 tags:
 - generated_from_trainer
 metrics:
@@ -8,23 +7,23 @@ metrics:
 - precision
 - recall
 model-index:
-- name: xlm-roberta-base-finetuned-detests-wandb24
+- name: beto-sentiment-analysis-finetuned-detests-wandb24
   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. -->
 
-# xlm-roberta-base-finetuned-detests-wandb24
+# beto-sentiment-analysis-finetuned-detests-wandb24
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+This model is a fine-tuned version of [finiteautomata/beto-sentiment-analysis](https://huggingface.co/finiteautomata/beto-sentiment-analysis) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4371
-- Accuracy: 0.7938
-- F1-score: 0.7241
-- Precision: 0.7136
-- Recall: 0.7396
-- Auc: 0.7396
+- Loss: 0.6204
+- Accuracy: 0.8674
+- F1-score: 0.7993
+- Precision: 0.8225
+- Recall: 0.7822
+- Auc: 0.7822
 
 ## Model description
 
@@ -44,19 +43,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- 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: 2
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
-| 0.458         | 1.0   | 153  | 0.4512          | 0.7725   | 0.4358   | 0.3863    | 0.5    | 0.5    |
-| 0.4262        | 2.0   | 306  | 0.4371          | 0.7938   | 0.7241   | 0.7136    | 0.7396 | 0.7396 |
+| 0.393         | 1.0   | 77   | 0.3365          | 0.8592   | 0.7633   | 0.8424    | 0.7287 | 0.7287 |
+| 0.1947        | 2.0   | 154  | 0.3843          | 0.8396   | 0.7845   | 0.7716    | 0.8023 | 0.8023 |
+| 0.0597        | 3.0   | 231  | 0.5486          | 0.8740   | 0.8046   | 0.8398    | 0.7814 | 0.7814 |
+| 0.0028        | 4.0   | 308  | 0.6204          | 0.8674   | 0.7993   | 0.8225    | 0.7822 | 0.7822 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8283fac370f4a0eb2d23f1282aa7406af5882e5f481e6a050e6d64fb22b1cf7c
+oid sha256:d7a52b43e92a382eb5f4d3b82d7efa6c2f307fc04f36f0b75ebb778c3525e812
 size 439445496