./finetuned_bart_on_eu

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: facebook/bart-large-mnli
+model-index:
+- name: finetuned_bart
+  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. -->
+
+# finetuned_bart
+
+This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.1971
+- eval_f1: 0.9284
+- eval_precision: 0.9114
+- eval_recall: 0.9461
+- eval_accuracy: 0.9271
+- eval_runtime: 45.0597
+- eval_samples_per_second: 163.095
+- eval_steps_per_second: 2.552
+- epoch: 1.9403
+- step: 1040
+
+## 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: 0.0002
+- 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
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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