End of training

README.md

@@ -1,3 +1,62 @@
 ---
 license: apache-2.0
+base_model: distilbert/distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: german_sentiment
+  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. -->
+
+# german_sentiment
+
+This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6492
+- Accuracy: 0.8235
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4212        | 1.0   | 1723 | 0.4022          | 0.8121   |
+| 0.3569        | 2.0   | 3446 | 0.5191          | 0.8154   |
+| 0.2611        | 3.0   | 5169 | 0.6492          | 0.8235   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Apr11_06-46-13_b791a1b2011b/events.out.tfevents.1712817981.b791a1b2011b.192.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce9208bcabd198662e5c92856b2e00421019d1df340d63ff6848525ac60ced98
-size 5590
+oid sha256:f28e331e1af11ede8dc7a0c1c0752fef7c3bd03b4ad528924a178391ad214fbc
+size 8067