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: 0.1363
+- F1: 0.8658
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2539        | 1.0   | 525  | 0.1505          | 0.8246 |
+| 0.1268        | 2.0   | 1050 | 0.1380          | 0.8503 |
+| 0.0794        | 3.0   | 1575 | 0.1363          | 0.8658 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Aug04_17-31-07_14ddcd2edb56/events.out.tfevents.1722792719.14ddcd2edb56.255.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dddae83c3f5fdf00bfa1beaeffad3b60aee7f9feb8156b83d61019675f95982c
-size 6463
+oid sha256:4a90e32b667fc7304547cbe15f5404c6a13dff5c53db92d2e39983c3dcd0568f
+size 7134