End of training

README.md

@@ -1,8 +1,11 @@
 ---
 license: apache-2.0
-base_model: alejndrojavier/sentiment-analysis-model-team-28
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: finetuning-sentiment-analysis-model-team-28
   results: []
@@ -13,7 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuning-sentiment-analysis-model-team-28
 
-This model is a fine-tuned version of [alejndrojavier/sentiment-analysis-model-team-28](https://huggingface.co/alejndrojavier/sentiment-analysis-model-team-28) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6302
+- Accuracy: 0.7186
+- F1: 0.8276
 
 ## Model description
 
@@ -33,17 +40,26 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- 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
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.4621        | 1.0   | 175  | 0.5107          | 0.7843   | 0.8763 |
+| 0.4787        | 2.0   | 350  | 0.6382          | 0.7743   | 0.8715 |
+| 0.4371        | 3.0   | 525  | 0.6302          | 0.7186   | 0.8276 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2
-- Pytorch 2.3.0+cpu
+- Pytorch 2.3.0+cu121
 - Datasets 2.20.0
 - Tokenizers 0.15.2