End of training

README.md

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+---
+base_model: ixa-ehu/berteus-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: MT_authorship_att2
+  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. -->
+
+# MT_authorship_att2
+
+This model is a fine-tuned version of [ixa-ehu/berteus-base-cased](https://huggingface.co/ixa-ehu/berteus-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3781
+- Accuracy: 0.8086
+
+## 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
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.5214        | 0.9994 | 783  | 0.4172          | 0.7824   |
+| 0.3949        | 1.9989 | 1566 | 0.3966          | 0.7937   |
+| 0.3614        | 2.9996 | 2350 | 0.3804          | 0.8047   |
+| 0.3315        | 3.9990 | 3133 | 0.3770          | 0.8071   |
+| 0.32          | 4.9972 | 3915 | 0.3781          | 0.8086   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1