End of training

README.md

@@ -0,0 +1,63 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-base
+tags:
+- generated_from_trainer
+model-index:
+- name: ModernBERT-base-ft-fineweb-multilingual-sentiment-es-2k
+  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. -->
+
+# ModernBERT-base-ft-fineweb-multilingual-sentiment-es-2k
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5953
+- F1 Score: 0.7774
+- Precision Score: 0.7782
+- Recall Score: 0.7766
+
+## 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: 8e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision Score | Recall Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|
+| 0.5755        | 1.0   | 1395 | 0.5156          | 0.7838   | 0.7912          | 0.7779       |
+| 0.4617        | 2.0   | 2790 | 0.5123          | 0.7823   | 0.7826          | 0.7820       |
+| 0.3318        | 3.0   | 4185 | 0.5953          | 0.7774   | 0.7782          | 0.7766       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e79e7398c1bdaf06cd642b779be81320e0a8512e318d23bcb1c9a2f30d0c0208
+oid sha256:68cca14577221295d3b1a8e50953f74202183863292bc84a9f278b3c92d2d6e6
 size 598442860

runs/Jan10_22-29-42_4c66aceb8329/events.out.tfevents.1736548184.4c66aceb8329.8713.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dad3552d5d7a7e8114b50d1353271a3e17e207bdd065f7a9929eea2303fa2b0
-size 7497
+oid sha256:f75c85fc161cb3ae4f00a079e2c910c920744b2fe9bbd57853d9393c47828b80
+size 8289