Training completed!

README.md

@@ -0,0 +1,62 @@
+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: xlm-roberta-base-finetuned-panx-de
+  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-panx-de
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1369
+- F1: 0.8611
+
+## 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: 5e-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2593        | 1.0   | 525  | 0.1478          | 0.8350 |
+| 0.1274        | 2.0   | 1050 | 0.1348          | 0.8504 |
+| 0.0793        | 3.0   | 1575 | 0.1369          | 0.8611 |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.5.0.dev20240717
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jul28_18-22-26_MACJ52TFXLR42/events.out.tfevents.1722183750.MACJ52TFXLR42.70792.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ecf5f69cae8fe0c08e89cd8d0367b240c38cdb1c5212968152d79f8de9bcf94
-size 6534
+oid sha256:3fb0fe68ed15650b975e0850ba0dec640d1b9dea5a4e61b6f2918073d128d6e4
+size 7205