End of training

README.md

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+---
+license: mit
+base_model: deepset/gbert-base
+tags:
+- generated_from_trainer
+model-index:
+- name: gbert-base-MLM-eu
+  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. -->
+
+# gbert-base-MLM-eu
+
+This model is a fine-tuned version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3578
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9428        | 1.0   | 403  | 1.5950          |
+| 1.6342        | 2.0   | 806  | 1.4453          |
+| 1.5324        | 3.0   | 1209 | 1.3751          |
+| 1.4729        | 4.0   | 1612 | 1.3533          |
+| 1.4536        | 5.0   | 2015 | 1.3389          |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.2"
+}